Presentation
17 March 2023 Hyperspectral imaging in SWIR: Applications of geospatial approaches to biological imaging (Conference Presentation)
Author Affiliations +
Abstract
The shortwave infrared (SWIR) shows a significantly higher level of contrast between different types of tissues compared to the Vis-NIR. This contrast can be further enhanced by using hyperspectral imaging (HSI). Unlike conventional imaging methods, each HSI pixel contains a full high-resolution spectral signal. Complex computational approaches are required to analyze HSI-measured optical alterations. Many of these approaches including machine learning and deep learning algorithms have been developed in the field of geospatial imaging. We adapted and optimized algorithms used in remote sensing to build an image processing platform IDCube that processes biomedical data and identifies tissues abnormalities in SWIR.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hridoy Biswas, Helena Hurbon, Deependra Mishra, John Wang, and Mikhail Y. Berezin "Hyperspectral imaging in SWIR: Applications of geospatial approaches to biological imaging (Conference Presentation)", Proc. SPIE PC12398, Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XIV, PC1239803 (17 March 2023); https://doi.org/10.1117/12.2654982
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KEYWORDS
Short wave infrared radiation

Hyperspectral imaging

Image processing

Tissues

Algorithm development

Chromophores

Data processing

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