Callenberg, C., Lyons, A. , den Brok, D., Fatima, A., Turpin, A. , Zickus, V., Machesky, L. , Whitelaw, J., Faccio, D. and Hullin, M.B. (2021) Super-resolution time-resolved imaging using computational sensor fusion. Scientific Reports, 11, 1689. (doi: 10.1038/s41598-021-81159-x) (PMID:33462284) (PMCID:PMC7813875)
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Abstract
Imaging across both the full transverse spatial and temporal dimensions of a scene with high precision in all three coordinates is key to applications ranging from LIDAR to fluorescence lifetime imaging. However, compromises that sacrifice, for example, spatial resolution at the expense of temporal resolution are often required, in particular when the full 3-dimensional data cube is required in short acquisition times. We introduce a sensor fusion approach that combines data having low-spatial resolution but high temporal precision gathered with a single-photon-avalanche-diode (SPAD) array with data that has high spatial but no temporal resolution, such as that acquired with a standard CMOS camera. Our method, based on blurring the image on the SPAD array and computational sensor fusion, reconstructs time-resolved images at significantly higher spatial resolution than the SPAD input, upsampling numerical data by a factor 12×12, and demonstrating up to 4×4 upsampling of experimental data. We demonstrate the technique for both LIDAR applications and FLIM of fluorescent cancer cells. This technique paves the way to high spatial resolution SPAD imaging or, equivalently, FLIM imaging with conventional microscopes at frame rates accelerated by more than an order of magnitude.
| Item Type: | Articles |
|---|---|
| Additional Information: | The authors acknowledge funding from EPSRC (UK, grant no. EP/T00097X/1 and EP/T002123/1) and the European Research Council (ERC Starting Grant "ECHO"). DF is supported by the Royal Academy of Engineering under the Chairs in Emerging Technologies scheme. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Faccio, Professor Daniele and Fatima, Dr Areeba and Machesky, Professor Laura and Zickus, Dr Vytautas and Turpin, Dr Alejandro and Lyons, Dr Ashley |
| Authors: | Callenberg, C., Lyons, A., den Brok, D., Fatima, A., Turpin, A., Zickus, V., Machesky, L., Whitelaw, J., Faccio, D., and Hullin, M.B. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Cancer Sciences College of Science and Engineering > School of Computing Science College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Scientific Reports |
| Publisher: | Nature Research |
| ISSN: | 2045-2322 |
| ISSN (Online): | 2045-2322 |
| Copyright Holders: | Copyright © The Author(s) 2021 |
| First Published: | First published in Scientific Reports 11:1689 |
| Publisher Policy: | Reproduced under a Creative Commons license |
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