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7 March 2022 Development of a fluorescence illumination optimization algorithm for mobile imaging applications in resource limited settings
Riley Deutsch, Roujia Wang, Brian T. Crouch, Nimmi Ramanujam
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Proceedings Volume PC11950, Optics and Biophotonics in Low-Resource Settings VIII; PC1195006 (2022) https://doi.org/10.1117/12.2609801
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
Commercial imaging systems such as mobile phones are suitable for fluorescence detection of in vivo and ex vivo tissue samples. To leverage this potential, a uniform plane of excitation light is necessary to make quantitative measurements of regions within an image. We have developed a computational model to simulate the illumination of an arbitrary number of sources. Using a pattern search algorithm, the position of these sources can be determined to generate a uniform plane of excitation light. Initial studies demonstrate that 4 fiber optic sources can be used to generate uniform illumination for biopsy samples with different geometries.
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Riley Deutsch, Roujia Wang, Brian T. Crouch, and Nimmi Ramanujam "Development of a fluorescence illumination optimization algorithm for mobile imaging applications in resource limited settings", Proc. SPIE PC11950, Optics and Biophotonics in Low-Resource Settings VIII, PC1195006 (7 March 2022); https://doi.org/10.1117/12.2609801
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KEYWORDS
Algorithm development
Genetic algorithms
Luminescence
Optimization (mathematics)
Systems modeling
In vivo imaging
Light
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