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Label-free hyperspectral dark-field microscopy towards quantitative scatter imaging

Published

Author(s)

Philip Cheney, David McClatchy III, Stephen Kanick, Paul Lemaillet, David W. Allen, Daniel V. Samarov, Brian Pogue, Jeeseong Hwang

Abstract

A hyperspectral dark-field microscopy technique has been developed for imaging spatially distributed diffuse reflectance spectra from light-scattering samples. In this report, quantitative scatter spectroscopy was demonstrated with a uniform scattering phantom, a solution of polystyrene microspheres. A Monte Carlo-based inverse model was used to calculate the reduced scattering coefficients of the samples of different microsphere concentrations from wavelength-dependent backscattered signal measured by the dark-field microscopy. The result was compared with the measurement result by a NIST’s double integrating sphere system for validation. Ongoing efforts involve quantitative mapping of scattering and absorption coefficients in samples with spatially heterogeneous optical properties.
Citation
Proceedings of SPIE
Volume
10056

Keywords

Tissue-simulating phantoms, hyperspectral dark-field microscopy, scatter imaging, integrating sphere, Monte Carlo simulation, scattering coefficient
Created March 27, 2017, Updated November 10, 2018