Compressive sensing based hyperspectral bioluminescence imaging

Alexander Bentley; Jonathan E. Rowe; Hamid Dehghani

doi:10.1117/12.2507223

4 March 2019 Compressive sensing based hyperspectral bioluminescence imaging

Alexander Bentley, Jonathan E. Rowe, Hamid Dehghani

Proceedings Volume 10889, High-Speed Biomedical Imaging and Spectroscopy IV; 108891H (2019) https://doi.org/10.1117/12.2507223
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Photonics based imaging is a widely utilised technique for the study of biological functions within pre-clinical studies. It is a sensitive and non-invasive technique that is able to detect distributed (biologically informative) visible and nearinfrared light sources providing information about biological function. Compressive Sensing (CS) is a method of signal processing that works on the basis that a signal or image can be compressed without important information being lost. This work describes the development of a CS based hyperspectral Bioluminescence imaging system that can be used to collect compressed fluence data from the external surface of an animal model, due to an internal source, providing lower acquisition times, higher spectral content and potentially better tomographic source localisation.

Citation Download Citation

Alexander Bentley, Jonathan E. Rowe, and Hamid Dehghani "Compressive sensing based hyperspectral bioluminescence imaging", Proc. SPIE 10889, High-Speed Biomedical Imaging and Spectroscopy IV, 108891H (4 March 2019); https://doi.org/10.1117/12.2507223

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