Excitation-scanning hyperspectral imaging as a means to discriminate various tissues types

Joshua Deal; Peter F. Favreau; Carmen Lopez; Malvika Lall; David S. Weber; Thomas C. Rich; Silas J. Leavesley

doi:10.1117/12.2251682

16 February 2017 Excitation-scanning hyperspectral imaging as a means to discriminate various tissues types

Joshua Deal, Peter F. Favreau, Carmen Lopez, Malvika Lall, David S. Weber, Thomas C. Rich, Silas J. Leavesley

Proceedings Volume 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV; 1006816 (2017) https://doi.org/10.1117/12.2251682
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Little is currently known about the fluorescence excitation spectra of disparate tissues and how these spectra change with pathological state. Current imaging diagnostic techniques have limited capacity to investigate fluorescence excitation spectral characteristics. This study utilized excitation-scanning hyperspectral imaging to perform a comprehensive assessment of fluorescence spectral signatures of various tissues. Immediately following tissue harvest, a custom inverted microscope (TE-2000, Nikon Instruments) with Xe arc lamp and thin film tunable filter array (VersaChrome, Semrock, Inc.) were used to acquire hyperspectral image data from each sample. Scans utilized excitation wavelengths from 340 nm to 550 nm in 5 nm increments. Hyperspectral images were analyzed with custom Matlab scripts including linear spectral unmixing (LSU), principal component analysis (PCA), and Gaussian mixture modeling (GMM). Spectra were examined for potential characteristic features such as consistent intensity peaks at specific wavelengths or intensity ratios among significant wavelengths. The resultant spectral features were conserved among tissues of similar molecular composition. Additionally, excitation spectra appear to be a mixture of pure endmembers with commonalities across tissues of varied molecular composition, potentially identifiable through GMM. These results suggest the presence of common autofluorescent molecules in most tissues and that excitationscanning hyperspectral imaging may serve as an approach for characterizing tissue composition as well as pathologic state. Future work will test the feasibility of excitation-scanning hyperspectral imaging as a contrast mode for discriminating normal and pathological tissues.

Conference Presentation

Citation Download Citation

Joshua Deal, Peter F. Favreau, Carmen Lopez, Malvika Lall, David S. Weber, Thomas C. Rich, and Silas J. Leavesley "Excitation-scanning hyperspectral imaging as a means to discriminate various tissues types", Proc. SPIE 10068, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, 1006816 (16 February 2017); https://doi.org/10.1117/12.2251682

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