Imaging cell clusters and tissue using learning tomography

M. Hasani Shoreh; A. Goy; J. Lim; U. Kamilov; M. Unser; D. Psaltis

doi:10.1117/12.2275250

26 June 2017 Imaging cell clusters and tissue using learning tomography

M. Hasani Shoreh; A. Goy; J. Lim; U. Kamilov; M. Unser; D. Psaltis

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Proceedings Volume 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III; 1033306 (2017) https://doi.org/10.1117/12.2275250
Event: SPIE Optical Metrology, 2017, Munich, Germany

Abstract

We present an experimental comparison of optical tomography techniques: Learning Tomography (LT), an iterative method based on beam propagation model and diffraction tomography (DT) based Born and Rytov approximation. Imaging experiments were performed on yeast cells clusters fixed in a transparent agarose gel. In particular, we compare the LT with a similar iterative but linear method based on Rytov approximation.

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M. Hasani Shoreh, M. Hasani Shoreh, A. Goy, A. Goy, J. Lim, J. Lim, U. Kamilov, U. Kamilov, M. Unser, M. Unser, D. Psaltis, D. Psaltis, } "Imaging cell clusters and tissue using learning tomography", Proc. SPIE 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, 1033306 (26 June 2017); doi: 10.1117/12.2275250; https://doi.org/10.1117/12.2275250

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