A new tool for bioimaging based on super-resolution Raman microscopy
Lead Research Organisation:
University of Strathclyde
Department Name: Electronic and Electrical Engineering
Abstract
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Organisations
People |
ORCID iD |
| Stephen Marshall (Principal Investigator) |
Publications
Chen Z
(2019)
Coherent Narrow-Band Light Source for Miniature Endoscopes
in IEEE Journal of Selected Topics in Quantum Electronics
Tschannerl J
(2019)
MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
in Information Fusion
Campbell A
(2018)
New methods for automatic quantification of microstructural features using digital image processing
in Materials & Design
Sun H
(2019)
Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images
in Remote Sensing
| Description | The signal processing techniques developed during an earlier project can be used to increases the resolution of raman images beyond the fundamental limit resulting from the wavelength of light. This means that, given the software and the correct data capture strategy, high resolution images can be produced from existing equipment and historical data sets. It also means that imaging phenomena which appear at wavelengths just below the limit will become visible. The results of this grant was a report to assess the commercial benefit and potential partners for exploitation of this technology. A decision has been made by the investigators to pursue commercialisation of these findings. As such the following actions have been taken: 1) The investigating team (Marshall/Graham/Faulds) pitched to the University commercialisation team in June 2019 and were awardeed £10k to purse htis activity. 2) We have engaged with a number of internationally leading Raman equipment providers who have demonstrated an interest in this technology. 3) NDAs have been put in place. 4) We have received a several data sets from these companies which we are processing in order to demonstrate the concept to them with a view to licensing. The funds have been used to meet costs of travel to companies and to cover cost of research staff to obtain results. |
| Exploitation Route | We are now actively enaged with several international equipment manufacturers. Our objective is to demonstrate that the super resolution approach can work with their systems in order to generate higher resolution raman images from their existing equipment. The expectation is that the companies would license the software for their products. This would then allow Raman imaging to be used to address problems which are currently beyond the resolution of raman. |
| Sectors | Chemicals,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology |
| URL | https://doi.org/10.1364/AO.378269 |
| Description | Pre commercialisation activities with key potential indiustrial partners |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | The academic team met with key industrial partners with an interest in commercialiising the outputs of this project. They agreed to send us data from their devices which we will process with a view to demonstrating the value and improvement in image resolution. |
| Year(s) Of Engagement Activity | 2019 |