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Proceedings Paper

Evaluation of illumination systems for wide-field hyperspectral imaging in biomedical applications
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Paper Abstract

Hyperspectral imaging (HSI) systems collect both morphological and chemical characteristics from a sample by simultaneously acquiring spatial and spectral information. HSI has potential to advance cancer diagnostics by characterizing reflectance and fluorescence properties of a tissue, as well as extracting microstructural in- formation, all of which are altered through the development of a tumor. Illumination uniformity is a critical pre-condition for extracting quantitative data from an HSI system. Spatial, angular, or spectral non-uniformity can cause glare, specular reflection and unwanted shading, which negatively impact statistical analysis techniques used to extract abundance of different chemical species. This is further exacerbated when imaging three-dimensional structures, such as tumors, whose appearance can cast shadows and form other occlusions. Furthermore, as HSI can be used simultaneously for white light and fluorescence imaging, a flexible system, which multiplexes narrowband and broadband illumination is necessary to fully utilize the capabilities of a biomedical HSI system. To address these challenges, we modeled illumination systems frequently used in wide-field biological imaging with the software LightTools and FRED. Each system is characterized for spectral, spatial, and angular uniformity, as well as total efficiency. While all three systems provide high spatial and spectral uniformity, the highest angular uniformity is achieved using a diffuse scattering dome, yielding a contrast of 0.503 and average deviation of 0.303 with a 3.91% model error. Nonetheless, results suggest that conventional systems may not be suitable for low-light-level applications, where tailoring illumination to match spatial and spectral requirements may be the best approach to maximize the performance.

Paper Details

Date Published: 16 February 2017
PDF: 9 pages
Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 1006818 (16 February 2017); doi: 10.1117/12.2250633
Show Author Affiliations
Travis W. Sawyer, Univ. of Cambridge (United Kingdom)
A. Siri Luthman, Univ. of Cambridge (United Kingdom)
Sarah E. Bohndiek, Univ. of Cambridge (United Kingdom)


Published in SPIE Proceedings Vol. 10068:
Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV
Daniel L. Farkas; Dan V. Nicolau; Robert C. Leif, Editor(s)

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