University of Edinburgh - Equipment Account
Lead Research Organisation:
University of Edinburgh
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
Publications
Pablo Roldán-Varona
(2023)
Selective plane illumination optical endomicroscopy with polymer imaging fibers
in APL Photonics
Pablo Roldán-Varona
(2022)
Selective Plane Illumination Optical Endomicroscopy with Polymer Imaging Fibres
Byerly Flint H
(2022)
You vs. us: framing adaptation behavior in terms of private or social benefits.
in Climatic change
Kölln LS
(2022)
Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.
in Journal of cell science
Barth ND
(2022)
A Bivalent Activatable Fluorescent Probe for Screening and Intravital Imaging of Chemotherapy-Induced Cancer Cell Death.
in Angewandte Chemie (International ed. in English)
Andrew Green
(2022)
Fibre optic probes for endoscopic measurement of uterine hypoxia
Brown C
(2021)
scRNA Transcription Profile of Adult Zebrafish Podocytes Using a Novel Reporter Strain.
in Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology
Kapara A
(2021)
Detection of Estrogen Receptor Alpha and Assessment of Fulvestrant Activity in MCF-7 Tumor Spheroids Using Microfluidics and SERS.
in Analytical chemistry
Gupta R
(2020)
Kite
Kapara A
(2020)
Investigation of cellular uptake mechanism of functionalised gold nanoparticles into breast cancer using SERS.
in Chemical science
Fan W
(2020)
Application Driven Graph Partitioning
Metzger P
(2020)
Enforcing Deadlines for Skeleton-based Parallel Programming
Coello Coello C
(2020)
Population-based evolutionary distributed SGD
Chitalu F
(2020)
Binary Ostensibly-Implicit Trees for Fast Collision Detection
in Computer Graphics Forum
Kristien M
(2020)
Fast and Correct Load-Link/Store-Conditional Instruction Handling in DBT Systems
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Fan W
(2020)
Capturing associations in graphs
in Proceedings of the VLDB Endowment
Chitalu F
(2020)
Displacement-Correlated XFEM for Simulating Brittle Fracture
in Computer Graphics Forum
Kamaljith V
(2020)
Ultrafast-laser-ablation-assisted spatially selective attachment of fluorescent sensors onto optical fibers.
in Optics letters
Rocha R
(2020)
Vectorization-aware loop unrolling with seed forwarding
Ginsbach P
(2020)
Automatically harnessing sparse acceleration
Erwig M
(2020)
Modeling black-box components with probabilistic synthesis
Larus J
(2020)
Lazy Release Persistency
Ehrlich K
(2020)
Time-Resolved Spectroscopy of Fluorescence Quenching in Optical Fibre-Based pH Sensors.
in Sensors (Basel, Switzerland)
Long J
(2020)
Frugal filtering optical lenses for point-of-care diagnostics
in Biomedical Optics Express
Donaldson A
(2020)
Effective function merging in the SSA form
Mattson T
(2019)
A case study on machine learning for synthesizing benchmarks
Sultana N
(2019)
Failure recovery for bulk synchronous applications with MPI stages
in Parallel Computing
Feltrin L
(2019)
Narrowband IoT: A Survey on Downlink and Uplink Perspectives
in IEEE Wireless Communications
Crawford L
(2019)
Specialization Opportunities in Graphical Workloads
Taufer M
(2019)
A large-scale study of MPI usage in open-source HPC applications
Subiros-Funosas R
(2019)
Fluorogenic Trp(redBODIPY) cyclopeptide targeting keratin 1 for imaging of aggressive carcinomas.
in Chemical science
Gibbons J
(2019)
High-level synthesis of functional patterns with Lift
Rocha R
(2019)
Function Merging by Sequence Alignment
Margaritov A
(2019)
Virtual Address Translation via Learned Page Table Indexes
| Description | Equipment account to support the EPSRC and MRC Centre for Doctoral Training in Optical Medical Imaging (OPTIMA): The equipment provided to support OPTIMA has been invaluable in fostering interdisciplinary collaborations and bringing physical sciences together with biomedical applications. The majority of the equipment bought with this grant has been sited at the Queen's Medical Research Institute and so has been invaluable in enabling precise fluorescence, Raman spectroscopy and other optical measurements to take place in the setting of biomedical research labs. This has facilitated interactions between the chemists, engineers and clinicians involved in OPTIMA research. The research domains of the CDTs in Pervasive Parallelism and Data Science are both inherently quite broad (eg hence the "Pervasive" in the title), and each published paper makes it contribution in a more constrained sub-area. It is noteworthy that many of these have been made in top-tier publication venues, including HPCA, NIPS, ASPLOS, CGO and EUROSYS, in some instances winning best paper awards. These results relied upon the existence of the equipment provided by this grant. |
| Exploitation Route | The CDTs are very diverse - component research projects may be taken forward by future destinations of our graduates, and by further projects sparked by interactions at our academic and industrial events. |
| Sectors | Digital/Communication/Information Technologies (including Software) Electronics Energy |
| URL | http://web.inf.ed.ac.uk/infweb/student-services/cdt/ds |
| Description | As in previous years, research findings presented in the many papers listed have all been delivered at international venues. Additionally, they have formed the basis of student presentations at a string of CDT industrial engagement events. These have sparked interactions which have led to numerous internships in industry. Within Informatics, these internships are a primary means of dissemination of research results beyond academia, both during the internship and often subsequently in the permanent employment which flows from them. In the EPSRC and MRC CDT in Optical Medical Imaging, access to equipment has driven new collaborations between physical sciences and biomedical sciences (>40 new collaborations). |