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, A. Goy, J. Lim, U. Kamilov, M. Unser, 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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