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Classification of biological micro-objects using optical coherence tomography: in silico study
Author(s) -
Paweł Ossowski,
Maciej Wojtkowski,
Peter Munro
Publication year - 2017
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.8.003606
Subject(s) - optical coherence tomography , optics , computer science , light scattering , microfluidics , substrate (aquarium) , lens (geology) , coherence (philosophical gambling strategy) , key (lock) , scattering , physics , materials science , nanotechnology , oceanography , quantum mechanics , geology , computer security
We report on the development of a technique for differentiating between biological micro-objects using a rigorous, full-wave model of OCT image formation. We model an existing experimental prototype which uses OCT to interrogate a microfluidic chip containing the blood cells. A full-wave model is required since the technique uses light back-scattered by a scattering substrate, rather than by the cells directly. The light back-scattered by the substrate is perturbed upon propagation through the cells, which flow between the substrate and imaging system's objective lens. We present the key elements of the 3D, Maxwell equation-based computational model, the key findings of the computational study and a comparison with experimental results.

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