Development of wide-field TCSPC fluorescence microscopy for cell membrane studies
Lead Research Organisation:
King's College London
Department Name: Physics
Abstract
From the earliest invention of the camera, humans have been seeking to observe processes that are too fast or too complex for the human eye to follow. The first time-lapse images of a running horse, taken by Eadweard Muybridge in the 19th century, allowed us to understand its motion, freezing a moment in time so that we can examine minute details. It showed that a horse's feet all leave the ground when galloping, a controversial question hotly debated at the time. Importantly, the time lapse images were a full-frame view - a key concept which we will also employ in the instrument to be developed here. Today, in cellular biology, our understanding of cellular function continues to evolve as we observe complex dynamic processes played out under a microscope. The optical microscope is a non-invasive, non-destructive and non-ionising tool which can be used to study living cells and tissues. No other method can study molecules in living cells with anything remotely approaching its combination of spatial resolution, selectivity, sensitivity and dynamics. Modern sensitive and sophisticated electronic cameras can capture dynamic processes at high speed, revealing intricate details of these processes. Indeed, detector development is a very important aspect of progress in the field of microscopy. The aim of our project is to develop extremely sensitive and fast full-frame view cameras which will allow us to observe molecules and proteins in their natural habitat, the cell, without disturbing them - in a way the 21st century equivalent of Muybridge's galloping horse.
We are interested in molecules that play a role in inflammation, which is the body's response to some kind of harm or injury. These molecules are called proteins, and they are many different ones in our cells. We specialise in finding out about a protein called the coxsackie virus adenovirus receptor (CAR). We want to know how they move around in time, bump into each other and stick together. So we have labelled them with a fluorescent label to observe them under a microscope. The special cameras we are going to develop will be able to see them with a very high resolution, and also very quickly and very precisely, by measuring the polarization of the fluorescence emitted by its label. They will allow us to observe the moment a cell responds to a chemical stimulus at the level of single proteins. This will help us to understand how inflammation occurs, on a molecular basis - which, at the moment, is still unknown. Imaging living cells is the best available approach to study this kind of biological question, and others, and, ultimately, the knowledge and insight gained by doing this work will enable us to design and develop drugs against inflammation, for the benefit of all of humankind.
We are interested in molecules that play a role in inflammation, which is the body's response to some kind of harm or injury. These molecules are called proteins, and they are many different ones in our cells. We specialise in finding out about a protein called the coxsackie virus adenovirus receptor (CAR). We want to know how they move around in time, bump into each other and stick together. So we have labelled them with a fluorescent label to observe them under a microscope. The special cameras we are going to develop will be able to see them with a very high resolution, and also very quickly and very precisely, by measuring the polarization of the fluorescence emitted by its label. They will allow us to observe the moment a cell responds to a chemical stimulus at the level of single proteins. This will help us to understand how inflammation occurs, on a molecular basis - which, at the moment, is still unknown. Imaging living cells is the best available approach to study this kind of biological question, and others, and, ultimately, the knowledge and insight gained by doing this work will enable us to design and develop drugs against inflammation, for the benefit of all of humankind.
Technical Summary
FLIM is a key technique to image the interaction of proteins, and is independent of fluorophore concentration, which is hard to control in cells. Time-correlated single photon counting (TCSPC) FLIM has the highest sensitivity of all FLIM approaches, but while scanning TCSPC FLIM is routinely implemented, some microscopy methods are performed without beam scanning, employing wide-field camera-based detection instead, e.g. time-lapse and TIRF microscopy. There is a technology gap for wide-field TCSPC FLIM, and this proposal will fill that gap: advanced 192x256 pixel SPAD array cameras with on-pixel time-to-digital converters - the most advanced TCSPC imaging detectors to date - will be adapted for wide-field TCSPC-based FLIM and TIRF microscopy, and bespoke data management solutions for this application implemented. They provide the high level of sensitivity, specificity and speed required - without beam scanning - to elucidate the control of receptor self-association at the membrane of living cells and how this is regulated by inflammatory insults.
Regulation of epithelial cell junction integrity is vital to many processes including embryonic development, tissue homeostasis, wound healing and inflammation. One transmembrane receptor playing a role in these processes is the coxsackie virus adenovirus receptor (CAR). The crystal structure of the CAR D1 domain has shown that D1 is able to form homodimers in solution, but how CAR dimerisation is regulated in intact cells remains unknown. Understanding how, where and when CAR dimerises is essential to dissecting its role in controlling epithelial cell adhesion, but hampered by the limitations of currently available techniques such as standard biochemical or immunofluorescence analysis which compromises the cell and does not provide spatial or temporal information. Current TIRF microscopes lack the versatility, time-resolution and photon throughput capabilities to address this issue.
Regulation of epithelial cell junction integrity is vital to many processes including embryonic development, tissue homeostasis, wound healing and inflammation. One transmembrane receptor playing a role in these processes is the coxsackie virus adenovirus receptor (CAR). The crystal structure of the CAR D1 domain has shown that D1 is able to form homodimers in solution, but how CAR dimerisation is regulated in intact cells remains unknown. Understanding how, where and when CAR dimerises is essential to dissecting its role in controlling epithelial cell adhesion, but hampered by the limitations of currently available techniques such as standard biochemical or immunofluorescence analysis which compromises the cell and does not provide spatial or temporal information. Current TIRF microscopes lack the versatility, time-resolution and photon throughput capabilities to address this issue.
Planned Impact
In addition to the academic beneficiaries, commercial private sector beneficiaries may include STMicroelectronics who have developed the first high volume products based on SPAD sensors ("flightsense") for time-of-flight ranging. A recent spinoff company (PhotonForce) from the University of Edinburgh is commercialising SPAD image sensors in scientific/medical applications and is a likely licensee of IP generated in the project. The SPAD arrays can be used for range finding in mobile phones to switch off the display when the device is held to the ear, thus contributing to saving energy - an important mass market development (see http://www.st.com/content/st_com/en/about/media-center/press-item.html/stmicroelectronics-proximity-sensor-solves-smartphone-hang-ups.html). Our development and refinement of photon arrival timing techniques in this proposal may be able to further optimise this approach. Moreover, our novel fluorescence and photon arrival time detection technology will lead to SPAD array cameras optimised specifically for time-resolved fluorescence microscopy, which could be manufactured by PhotonForce. The proposed project would thus facilitate their entry into the life sciences fluorescence microscopy market. We will also organise a workshop for the academic community and industry in the final year of the project. Moreover, we will invite the industrial collaborators STMicroelectronics and PhotonForce to join the project review meetings every 4 months either in person or via skype. This would allow them to develop their applications alongside the main thrust of the project ensuring that beneficiaries are well represented even at the genesis of the project. In the longer term, when the SPAD array technology developed in this proposal is taken up by the biophotonics research community.
Beyond the field of fluorescence microscopy and inflammation, general photon time-of-flight measurement techniques such as photon-counting light detection and ranging (lidar) and photon counting optical tomography would benefit significantly from TCSPC detection. In lidar, single photon sensitivity and large number of pixels would allow rapid detection of reflected laser pulses, speeding up the process of mapping an archaeological site, for example, or industrial processes such as lidar-based non-contact inspection of car bodies or aircraft wings for fractures. In photon counting optical tomography, image acquisition could be sped up by orders of magnitude, as currently only 10s of detectors are used to map the specimen, now 10s of 1000s could, in principle, be used.
The single photon sensitive SPAD array cameras with picosecond resolution will allow us to observe the moment a cell responds to a chemical stimulus, and the location of that stimulus, at the level of single proteins. This will help us to understand how inflammation occurs, on a molecular basis. The technology we will develop will dramatically improve our understanding of dynamic events within cells offering insight into drug interactions in diverse applications throughout the life sciences - an area of great interest for the pharmaceutical industry. Their aim is to establish the efficacy of a new drug early in its development and on a molecular basis, reducing the reliance on lengthy clinical trials. The pharmaceutical industry saves money by adopting this approach, and patients benefit from an earlier availability of a new drug.
The public will also benefit from outreach activities, for example SPAD cameras were demonstrated at the Royal Society Summer Science Exhibition 2014, and the PI frequently talks at events such as the Pint of Science festival and the Crick's Science Museum Lates event "The Future of Biomedical Discovery", attracting 7000 visitors. He also oversaw the design and creation of the fluorescence exhibit in the Physics stand at the Big Bang fair in London's ExCel exhibition centre in 2011, an event attracting more than 29,000 visitors over 3 days.
Beyond the field of fluorescence microscopy and inflammation, general photon time-of-flight measurement techniques such as photon-counting light detection and ranging (lidar) and photon counting optical tomography would benefit significantly from TCSPC detection. In lidar, single photon sensitivity and large number of pixels would allow rapid detection of reflected laser pulses, speeding up the process of mapping an archaeological site, for example, or industrial processes such as lidar-based non-contact inspection of car bodies or aircraft wings for fractures. In photon counting optical tomography, image acquisition could be sped up by orders of magnitude, as currently only 10s of detectors are used to map the specimen, now 10s of 1000s could, in principle, be used.
The single photon sensitive SPAD array cameras with picosecond resolution will allow us to observe the moment a cell responds to a chemical stimulus, and the location of that stimulus, at the level of single proteins. This will help us to understand how inflammation occurs, on a molecular basis. The technology we will develop will dramatically improve our understanding of dynamic events within cells offering insight into drug interactions in diverse applications throughout the life sciences - an area of great interest for the pharmaceutical industry. Their aim is to establish the efficacy of a new drug early in its development and on a molecular basis, reducing the reliance on lengthy clinical trials. The pharmaceutical industry saves money by adopting this approach, and patients benefit from an earlier availability of a new drug.
The public will also benefit from outreach activities, for example SPAD cameras were demonstrated at the Royal Society Summer Science Exhibition 2014, and the PI frequently talks at events such as the Pint of Science festival and the Crick's Science Museum Lates event "The Future of Biomedical Discovery", attracting 7000 visitors. He also oversaw the design and creation of the fluorescence exhibit in the Physics stand at the Big Bang fair in London's ExCel exhibition centre in 2011, an event attracting more than 29,000 visitors over 3 days.
Publications
Ameer-Beg S
(2020)
Special issue on fluorescence lifetime imaging (FLIM): from fundamentals to applications.
in Methods and applications in fluorescence
Betterton MD
(2022)
A new view of how cytoplasmic viscosity affects microtubule dynamics.
in Developmental cell
Bourke S
(2019)
Cellular imaging using emission-tuneable conjugated polymer nanoparticles.
in RSC advances
Bourke S
(2022)
Biocompatible Magnetic Conjugated Polymer Nanoparticles for Optical and Lifetime Imaging Applications in the First Biological Window.
in ACS applied polymer materials
Hirvonen L
(2020)
Fast Timing Techniques in FLIM Applications
in Frontiers in Physics
Hirvonen LM
(2020)
Lightsheet fluorescence lifetime imaging microscopy with wide-field time-correlated single photon counting.
in Journal of biophotonics
Lira RB
(2024)
Fluorescence lifetime imaging microscopy of flexible and rigid dyes probes the biophysical properties of synthetic and biological membranes.
in Biophysical journal
Lu Y
(2021)
Editorial: Modern Tools for Time-Resolved Luminescence Biosensing and Imaging
in Frontiers in Physics
| Title | Figure 6A: Diffusing C. vulgaris cells, partly treated with DCMU, and imaged with fluorescence lifetime contrast. |
| Description | Video of fluorescence lifetime images acquired at one frame per second and showing diffusing C. vulgaris cells. The cells are live and dark acclimed and part treated with DCMU herbicide. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_6A_Diffusing_i_C_vulgaris_i_cells_partly_treated_with... |
| Title | Figure 6A: Diffusing C. vulgaris cells, partly treated with DCMU, and imaged with fluorescence lifetime contrast. |
| Description | Video of fluorescence lifetime images acquired at one frame per second and showing diffusing C. vulgaris cells. The cells are live and dark acclimed and part treated with DCMU herbicide. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_6A_Diffusing_i_C_vulgaris_i_cells_partly_treated_with... |
| Title | Figure 7A: Immobilized C. vulgaris cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live control C. vulgaris cells without DCMU treatment in a 3D fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7A_Immobilized_i_C_vulgaris_i_cells_untreated_and_ima... |
| Title | Figure 7A: Immobilized C. vulgaris cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live control C. vulgaris cells without DCMU treatment in a 3D fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7A_Immobilized_i_C_vulgaris_i_cells_untreated_and_ima... |
| Title | Figure 7A: Immobilized C. vulgaris cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live control C. vulgaris cells without DCMU treatment in a rotating projection around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7A_Immobilized_i_C_vulgaris_i_cells_untreated_and_ima... |
| Title | Figure 7A: Immobilized C. vulgaris cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live control C. vulgaris cells without DCMU treatment in a rotating projection around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7A_Immobilized_i_C_vulgaris_i_cells_untreated_and_ima... |
| Title | Figure 7B: Immobilized C. vulgaris cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized C. vulgaris cells treated with DCMU in a 3D fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7B_Immobilized_i_C_vulgaris_i_cells_treated_treated_w... |
| Title | Figure 7B: Immobilized C. vulgaris cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized C. vulgaris cells treated with DCMU in a 3D fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7B_Immobilized_i_C_vulgaris_i_cells_treated_treated_w... |
| Title | Figure 7B: Immobilized C. vulgaris cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized C. vulgaris cells treated with DCMU in a rotating projection around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7B_Immobilized_i_C_vulgaris_i_cells_treated_treated_w... |
| Title | Figure 7B: Immobilized C. vulgaris cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized C. vulgaris cells treated with DCMU in a rotating projection around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7B_Immobilized_i_C_vulgaris_i_cells_treated_treated_w... |
| Title | Figure 7C: Mixture of Immobilized C. vulgaris cells either treated with DCMU or not, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the X axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live C. vulgaris cells in a 3D projection rotating around the X axis. The cells were live and dark acclimed during the imaging. Part of the cells were untreated and part were treated with DCMU to form a mixture of both cell types. The fluorescence lifetime is differs between the cells in the field of view, depending on their exposure to DCMU.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7C_Mixture_of_Immobilized_i_C_vulgaris_i_cells_either... |
| Title | Figure 7C: Mixture of Immobilized C. vulgaris cells either treated with DCMU or not, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the X axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live C. vulgaris cells in a 3D projection rotating around the X axis. The cells were live and dark acclimed during the imaging. Part of the cells were untreated and part were treated with DCMU to form a mixture of both cell types. The fluorescence lifetime is differs between the cells in the field of view, depending on their exposure to DCMU.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7C_Mixture_of_Immobilized_i_C_vulgaris_i_cells_either... |
| Title | Figure 7C: Mixture of Immobilized C. vulgaris cells wither treated with DCMU or not, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live C. vulgaris cells in a 3D axial stack fly-through. The cells were live and dark acclimed during the imaging. Part of the cells were untreated and part were treated with DCMU to form a mixture of both cell types. The fluorescence lifetime is differs between the cells in the field of view, depending on their exposure to DCMU.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7C_Mixture_of_Immobilized_i_C_vulgaris_i_cells_wither... |
| Title | Figure 7C: Mixture of Immobilized C. vulgaris cells wither treated with DCMU or not, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live C. vulgaris cells in a 3D axial stack fly-through. The cells were live and dark acclimed during the imaging. Part of the cells were untreated and part were treated with DCMU to form a mixture of both cell types. The fluorescence lifetime is differs between the cells in the field of view, depending on their exposure to DCMU.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7C_Mixture_of_Immobilized_i_C_vulgaris_i_cells_wither... |
| Title | Figure 7D: Immobilized D. quadricauda cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells in 3D axial fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7D_Immobilized_i_D_quadricauda_i_cells_untreated_and_... |
| Title | Figure 7D: Immobilized D. quadricauda cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells in 3D axial fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7D_Immobilized_i_D_quadricauda_i_cells_untreated_and_... |
| Title | Figure 7D: Immobilized D. quadricauda cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells in a 3D projection rotating around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7D_Immobilized_i_D_quadricauda_i_cells_untreated_and_... |
| Title | Figure 7D: Immobilized D. quadricauda cells, untreated, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells in a 3D projection rotating around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is intrinsic without any drug effect.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7D_Immobilized_i_D_quadricauda_i_cells_untreated_and_... |
| Title | Figure 7E: Immobilized D. quadricauda cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells treated with DCMU in a 3D axial fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7E_Immobilized_i_D_quadricauda_i_cells_treated_treate... |
| Title | Figure 7E: Immobilized D. quadricauda cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells treated with DCMU in a 3D axial fly-through. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7E_Immobilized_i_D_quadricauda_i_cells_treated_treate... |
| Title | Figure 7E: Immobilized D. quadricauda cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells treated with DCMU in a 3D projection rotating around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7E_Immobilized_i_D_quadricauda_i_cells_treated_treate... |
| Title | Figure 7E: Immobilized D. quadricauda cells, treated treated with DCMU, and imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live D. quadricauda cells treated with DCMU in a 3D projection rotating around the Y axis. The cells were live and dark acclimed during the imaging. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_7E_Immobilized_i_D_quadricauda_i_cells_treated_treate... |
| Title | Figure 8A: Immobilized DPPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DPPC/cholesterol mixture and labelled with di-4-ANEPPDHQ dye in a 3D axial projection.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8A_Immobilized_DPPC_GUVs_imaged_with_fluorescence_lif... |
| Title | Figure 8A: Immobilized DPPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DPPC/cholesterol mixture and labelled with di-4-ANEPPDHQ dye in a 3D axial projection.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8A_Immobilized_DPPC_GUVs_imaged_with_fluorescence_lif... |
| Title | Figure 8A: Immobilized DPPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DPPC/cholesterol mixture and labelled with di-4-ANEPPDHQ dye in a 3D projection rotating around the Y axis.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8A_Immobilized_DPPC_GUVs_imaged_with_fluorescence_lif... |
| Title | Figure 8B: Immobilized DOPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D axial stack fly-through. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DOPC and labelled with di-4-ANEPPDHQ dye in a 3D stack fly-through.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8B_Immobilized_DOPC_GUVs_imaged_with_fluorescence_lif... |
| Title | Figure 8B: Immobilized DOPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DOPC and labelled with di-4-ANEPPDHQ dye in a 3D projection rotating around the Y axis.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8B_Immobilized_DOPC_GUVs_imaged_with_fluorescence_lif... |
| Title | Figure 8B: Immobilized DOPC GUVs imaged with fluorescence lifetime contrast and selective plane illumination. 3D projection rotating around the Y axis. |
| Description | Video of fluorescence lifetime images acquired with 1 um axial spacing and showing immobilized live GUVs made of DOPC and labelled with di-4-ANEPPDHQ dye in a 3D projection rotating around the Y axis.This video is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Art | Film/Video/Animation |
| Year Produced | 2024 |
| URL | https://kcl.figshare.com/articles/media/Figure_8B_Immobilized_DOPC_GUVs_imaged_with_fluorescence_lif... |
| Description | A portable SPAD camera was built. |
| Exploitation Route | read our papers |
| Sectors | Electronics |
| Description | https://www.theguardian.com/artanddesign/2023/jun/26/camera-brings-unprecedented-clarity-to-restoration-of-historic-artworks |
| First Year Of Impact | 2023 |
| Sector | Chemicals,Culture, Heritage, Museums and Collections |
| Impact Types | Cultural Societal |
| Description | Guardian newspaper article |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Implementation circular/rapid advice/letter to e.g. Ministry of Health |
| URL | https://www.theguardian.com/artanddesign/2023/jun/26/camera-brings-unprecedented-clarity-to-restorat... |
| Description | Development of a Single Photon Avalanche Diode-Based Fluorescence Lifetime Imaging Camera for Artwork Conservation |
| Amount | £35,500 (GBP) |
| Organisation | King's College London |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2021 |
| End | 02/2022 |
| Description | Impact Assessment of Single-Photon Avalanche Photodiode (SPAD) Array Use in Photosynthesis Research |
| Amount | £48,922 (GBP) |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 09/2022 |
| End | 10/2023 |
| Title | Figure 2, B2: Varnish Removal Methods |
| Description | This dataset is the source for Figures 2 and B2 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of painting surface following solvent application by a swab or gel with or without mechanical action. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMavg.m script included with this dataset. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_2_B2_Varnish_Removal_Removal_Methods/20393085/2 |
| Title | Figure 2, B2: Varnish Removal Removal Methods |
| Description | This dataset is the source for Figure 2 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of painting surface following solvent application by a swab or gel with or without mechanical action. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMavg.m script included with this dataset. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_2_B2_Varnish_Removal_Removal_Methods/20393085 |
| Title | Figure 2, B2: Varnish Removal Removal Methods |
| Description | This dataset is the source for Figure 2 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of painting surface following solvent application by a swab or gel with or without mechanical action. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMavg.m script included with this dataset. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_2_B2_Varnish_Removal_Removal_Methods/20393085/1 |
| Title | Figure 4 and D4: Gradual Varnish Removal |
| Description | This dataset is the source for Figure 3 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of painting surface acquired after incremental cleaning steps using swab application of solvent with or without mechanical action. The dataset contains the raw measurement of the painting surface before, during, and after varnish removal tests. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts are to combine several measurements together for FLIM analysis in TRI2 and to separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_4_and_D4_Gradual_Varnish_Removal/20393958 |
| Title | Figure 4 and D4: Gradual Varnish Removal |
| Description | This dataset is the source for Figures 4 and D4 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of painting surface acquired after incremental cleaning steps using swab application of solvent with or without mechanical action. The dataset contains the raw measurement of the painting surface before, during, and after varnish removal tests. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts are to combine several measurements together for FLIM analysis in TRI2 and to separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_4_and_D4_Gradual_Varnish_Removal/20393958/1 |
| Title | Figure 5: Painting Sample Cross-Sections |
| Description | This dataset was used in the preparation of Figure 5 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". The dataset contains the raw measurements and processed outputs of measurements of painting sample cross-sections. These cross-sections have been mounted in resin and imaged using a 4X 0.1 NA air objective on a FLIM microscope equipped with a SPAD camera. The data set contains the raw measurement on the cross-sections The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts are to combine several measurements together for FLIM analysis in TRI2 and to separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_5_Painting_Sample_Cross-Sections/20411205/1 |
| Title | Figure 5: Painting Sample Cross-Sections |
| Description | This dataset was used in the preparation of the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". The dataset contains the raw measurements and processed outputs of measurements of painting sample cross-sections. These cross-sections have been mounted in resin and imaged using a 4X 0.1 NA air objective on a FLIM microscope equipped with a SPAD camera. The data set contains the raw measurement on the cross-sections The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts are to combine several measurements together for FLIM analysis in TRI2 and to separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_5_Painting_Sample_Cross-Sections/20411205 |
| Title | Figure 5: Raw data, MATLAB scripts, and processed microalgae FLIM image stills |
| Description | Image still data in transmission and fluorescence lifetime contrast have been acquired with microalgaeSamples consisted of C. vulgaris and D. quadricauda cells, either treated with DCMU or left untreated. The cells were live and dark acclimed and part treated with DCMU herbicide. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.The images were created using the accompanying makeFLIM.m script for MATLAB. The calibration data from the SPADlinarization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_5_Raw_data_MATLAB_scripts_and_processed_microalgae_... |
| Title | Figure 5: Raw data, MATLAB scripts, and processed microalgae FLIM image stills |
| Description | Image still data in transmission and fluorescence lifetime contrast have been acquired with microalgaeSamples consisted of C. vulgaris and D. quadricauda cells, either treated with DCMU or left untreated. The cells were live and dark acclimed and part treated with DCMU herbicide. The fluorescence lifetime of those cells is increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching.The images were created using the accompanying makeFLIM.m script for MATLAB. The calibration data from the SPADlinarization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_5_Raw_data_MATLAB_scripts_and_processed_microalgae_... |
| Title | Figure 6, C3, D5: Natural Resin Varnish Test Samples |
| Description | This dataset is the source for Figures 6, C3, and D5 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of test samples coated with Dammar and Mastic varnishes. Samples have undergone ambient or accelerated aging. The data set contains the raw measurement of the test sample surfaces. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts combine several measurements together for FLIM analysis in TRI2 and then separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. The phasor plot data in Fig. C3 was created by the included script makePhasor.m. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_6_C3_D5_Natural_Resin_Varnish_Test_Samples/20394279... |
| Title | Figure 6, C3, D5: Natural Resin Varnish Test Samples |
| Description | This dataset is the source for Figures 6, C3, and D5 in the manuscript "Visualising Varnish Removal for Conservation of Paintings by Fluorescence Lifetime Imaging (FLIM)". It contains measurements of test samples coated with Dammar and Mastic varnishes. Samples have undergone ambient or accelerated aging. The data set contains the raw measurement of the test sample surfaces. The raw data was processed by the MATLAB processFLIM.m script in the collection called "SPAD Linearization Code". The processed data was fit in TRI2, and produced into graphical outputs using the MATLAB makeFLIMglob.m script included with this dataset. stichImages.m and destitchImages.m scripts combine several measurements together for FLIM analysis in TRI2 and then separate the results, respectively. The fit results and the graphical outputs used in the publication are included in the dataset. The phasor plot data in Fig. C3 was created by the included script makePhasor.m. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_6_C3_D5_Natural_Resin_Varnish_Test_Samples/20394279 |
| Title | Figure 6: Raw data, MATLAB scripts, and processed time series video of diffusing C. vulgaris cells with FLIM contrast |
| Description | Image time series data with fluorescence lifetime contrast have been acquired with microalgae C. vulgaris. A mixture of cells treated with DCMU and untreated control cells was used The fluorescence lifetime of the DCMU-treated cells was increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching. The continuous stream of photon timestamps (11-Mar-2021_19_36_17_1000us_00001.mat) was segmented into individual 1-second integration time frames using the accompanying divideStream.m script for MATLAB.The video of the time series frames, analyzed in TRI2, was created by another script createVideo.m. The calibration data from the SPADlinarization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_6_Raw_data_MATLAB_scripts_and_processed_time_series... |
| Title | Figure 6: Raw data, MATLAB scripts, and processed time series video of diffusing C. vulgaris cells with FLIM contrast |
| Description | Image time series data with fluorescence lifetime contrast have been acquired with microalgae C. vulgaris. A mixture of cells treated with DCMU and untreated control cells was used The fluorescence lifetime of the DCMU-treated cells was increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching. The continuous stream of photon timestamps (11-Mar-2021_19_36_17_1000us_00001.mat) was segmented into individual 1-second integration time frames using the accompanying divideStream.m script for MATLAB.The video of the time series frames, analyzed in TRI2, was created by another script createVideo.m. The calibration data from the SPADlinarization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_6_Raw_data_MATLAB_scripts_and_processed_time_series... |
| Title | Figure 7: Raw data, MATLAB scripts, and processed videos of lightsheet image stacks of algae cells |
| Description | 3D volume stacks of images of algae cells embedded in agarose. C. vulgaris and D. quadricauda cells were either treated with DCMU, left untreated as controls and a mixture of treated and untreated C. vulgaris cells. The fluorescence lifetime of the DCMU-treated cells was increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching. There are three folders in the package:Dquadricauda_lightsheetCvulgaris_lightsheetCvulgaris_mixture_lightsheetEach folder contains a MATLAB script makeFLIM.m, which produces videos and graphs from the SPAD output data analyzed in TRI2. The calibration data from the SPADlinearization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_7_Raw_data_MATLAB_scripts_and_processed_videos_of_l... |
| Title | Figure 7: Raw data, MATLAB scripts, and processed videos of lightsheet image stacks of algae cells |
| Description | 3D volume stacks of images of algae cells embedded in agarose. C. vulgaris and D. quadricauda cells were either treated with DCMU, left untreated as controls and a mixture of treated and untreated C. vulgaris cells. The fluorescence lifetime of the DCMU-treated cells was increased due DCMU blocking electron acceptor oxidation and thus reaction center quenching. There are three folders in the package:Dquadricauda_lightsheetCvulgaris_lightsheetCvulgaris_mixture_lightsheetEach folder contains a MATLAB script makeFLIM.m, which produces videos and graphs from the SPAD output data analyzed in TRI2. The calibration data from the SPADlinearization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_7_Raw_data_MATLAB_scripts_and_processed_videos_of_l... |
| Title | Figure 8: Raw data, MATLAB scripts, and processed videos of lightsheet image stacks of GUVs |
| Description | 3D volume stacks of images of GUVs embedded in agarose. GUVs made of DPPC or DOPC were labelled with di-4-ANEPPDHQ. The fluorescence lifetime of the di-4-ANEPPDHQ changes with the membrane lipid packing state and thus the bilayer constituent.The MATLAB script makeFLIM.m produces videos and graphs from the SPAD output data analyzed in TRI2. The calibration data from the SPADlinearization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_8_Raw_data_MATLAB_scripts_and_processed_videos_of_l... |
| Title | Figure 8: Raw data, MATLAB scripts, and processed videos of lightsheet image stacks of GUVs |
| Description | 3D volume stacks of images of GUVs embedded in agarose. GUVs made of DPPC or DOPC were labelled with di-4-ANEPPDHQ. The fluorescence lifetime of the di-4-ANEPPDHQ changes with the membrane lipid packing state and thus the bilayer constituent.The MATLAB script makeFLIM.m produces videos and graphs from the SPAD output data analyzed in TRI2. The calibration data from the SPADlinearization package (https://doi.org/10.18742/21325584) will be needed to run this script.This dataset is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://kcl.figshare.com/articles/dataset/Figure_8_Raw_data_MATLAB_scripts_and_processed_videos_of_l... |
| Description | Development of a Single Photon Avalanche Diode-Based Fluorescence Lifetime Imaging Camera for Artwork Conservation |
| Organisation | Courtauld Institute of Art (University of London) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | SPAD camera development |
| Collaborator Contribution | provide paintings and expertise |
| Impact | draft paper |
| Start Year | 2021 |
| Title | Figure 3: Explanation of TDC linearization through simulation |
| Description | The dataset contains a Mathworks MATLAB code rebinningSIM.m, which creates graphs that demonstrate the function of the Monte-Carlo algorithm for rebinning time-correlated single photon data from a SPAD array to correct for TDC linearization and timing offset. Run the code to generate a new set of images, change parameters of the code to alter these images. Each run of the code results in different output as it uses random number generator to simulate the data. This source code is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos"This software is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://kcl.figshare.com/articles/software/Figure_3_Explanation_of_TDC_linearization_through_simulat... |
| Title | Figures 1, 2 & 4: Demonstration of linearization algorithm function and performance |
| Description | Graphs software package contains a script and input data to synthesize graphs found in Figures 1, 2 & 4 of the publication. It is a Mathworks MATLAB script. Running graphs.m will produce graphs contained in the publication.Graphs in Fig 2B and 2C are produced by the acquireHistogram.m script found in the SPADlinarization package (https://doi.org/10.18742/21325584)This software is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://kcl.figshare.com/articles/software/Figures_1_2_4_Demonstration_of_linearization_algorithm_fu... |
| Title | Figures 1, 2 & 4: Demonstration of linearization algorithm function and performance |
| Description | Graphs software package contains a script and input data to synthesize graphs found in Figures 1, 2 & 4 of the publication. It is a Mathworks MATLAB script. Running graphs.m will produce graphs contained in the publication.Graphs in Fig 2B and 2C are produced by the acquireHistogram.m script found in the SPADlinarization package (https://doi.org/10.18742/21325584)This software is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://kcl.figshare.com/articles/software/Figures_1_2_4_Demonstration_of_linearization_algorithm_fu... |
| Title | SPAD linearization code for processing calibration and measurement data from the SPAD camera |
| Description | The SPADlinearization software contains a Mathworks MATLAB script SPADcorrection.m. This is used to create calibration data from measurements of dark count map (dark sensor), instrument response function (pulsed light illuminated sensor), and code density map (constant light illuminated sensor) acquired on the microscope with the QuantiCam camera. The script produces calibration data. There are two calibration datasets in the filebinCorrection78MHz_NKT_chip12_Allura.full.matbinCorrection78MHz_NKT_chip12_FITC.full.matDiffering in the calibration solution (Allura Red or quenched fluorescein) and the fluorescence wavelength measured (667 nm and 535 nm, respectively). These calibration measurements are only suitable for the single sensor and optical setup used in the published experiments and is not generally applicable. The calibrations need to be done for each optical setup and sensor separately.processFLIM.m is a script used to process fluroescence decay measurement data from the QuantiCam SPAD camera. This script was used to process all measurement data presented in the publication.QuantiCAM_calibration_and_measurement_guide.pdf is a protocol explaining how calibration data is acquired and processed and how fluorescence lifetime measurements are processed.Most recent version of the source code is available at:https://www.github.com/jnedbal/SPADcorrection/This software is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://kcl.figshare.com/articles/software/SPAD_linearization_code_for_processing_calibration_and_me... |
| Title | SPAD linearization code for processing calibration and measurement data from the SPAD camera |
| Description | The SPADlinearization software contains a Mathworks MATLAB script SPADcorrection.m. This is used to create calibration data from measurements of dark count map (dark sensor), instrument response function (pulsed light illuminated sensor), and code density map (constant light illuminated sensor) acquired on the microscope with the QuantiCam camera. The script produces calibration data. There are two calibration datasets in the filebinCorrection78MHz_NKT_chip12_Allura.full.matbinCorrection78MHz_NKT_chip12_FITC.full.matDiffering in the calibration solution (Allura Red or quenched fluorescein) and the fluorescence wavelength measured (667 nm and 535 nm, respectively). These calibration measurements are only suitable for the single sensor and optical setup used in the published experiments and is not generally applicable. The calibrations need to be done for each optical setup and sensor separately.processFLIM.m is a script used to process fluroescence decay measurement data from the QuantiCam SPAD camera. This script was used to process all measurement data presented in the publication.QuantiCAM_calibration_and_measurement_guide.pdf is a protocol explaining how calibration data is acquired and processed and how fluorescence lifetime measurements are processed.Most recent version of the source code is available at:https://www.github.com/jnedbal/SPADcorrection/This software is a supplement to the article "A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos" |
| Type Of Technology | Software |
| Year Produced | 2024 |
| Open Source License? | Yes |
| URL | https://kcl.figshare.com/articles/software/SPAD_linearization_code_for_processing_calibration_and_me... |
| Description | MRC Course in Advanced Optical Microscopy |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | "MRC Course in Advanced Optical Microscopy" in the Marine Biology Laboratory, Plymouth. The lecturers are invited, while the number of attendees is restricted to 20 who are selected by the organisers. I have been regularly speaking at this workshop since 2004, except 2013. |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2014,2015,2016,2017,2018 |
| URL | https://www.mba.ac.uk/practical-course-advanced-optical-microscopy-cell-biology |
| Description | Optical Imaging and Electrophysiological Recording in Neuroscience |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Optical Imaging and Electrophysiological Recording in Neuroscience, Paris Neuroscience School, Federation of Neurosciences, Université Paris Descartes, IBENS, École Normale Supérieure Paris, 14-23 May 2018. The lecturers are invited, while the number of attendees is restricted to 20 who are selected by the organisers. I have been regularly speaking at this workshop since it was founded in 2009. |
| Year(s) Of Engagement Activity | 2009,2011,2012,2013,2014,2015,2016,2017,2018 |
| URL | https://parisneuro.ovh/ |
| Description | STEM for Britain judge |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | I was a member of the Physics panel selecting Physics poster, entries, and judged the finalists to select the 3 winners for gold, silver and bronze medals |
| Year(s) Of Engagement Activity | 2020,2021,2022 |
| URL | https://stemforbritain.org.uk/physics-exhibition/ |
| Description | judge for STEM in Britain |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other audiences |
| Results and Impact | shortlisting poster submissions, judging posters in House of Commons |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://stemforbritain.org.uk/ |
| Description | judge for STEM in Britain |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | select entries, judge posters |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://stemforbritain.org.uk/ |
