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Proceedings Paper • Open Access

Imaging cell clusters and tissue using learning tomography
Author(s): M. Hasani Shoreh; A. Goy; J. Lim; U. Kamilov; M. Unser; D. Psaltis

Paper 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.

Paper Details

Date Published: 26 June 2017
PDF: 7 pages
Proc. SPIE 10333, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III, 1033306 (26 June 2017); doi: 10.1117/12.2275250
Show Author Affiliations
M. Hasani Shoreh, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
A. Goy, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
J. Lim, Ecole Polytechnique Federale de Lausanne (Switzerland)
U. Kamilov, Mitsubishi Electric Research Labs. (United States)
M. Unser, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
D. Psaltis, Ecole Polytechnique Fédérale de Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 10333:
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III
Pietro Ferraro; Simonetta Grilli; Monika Ritsch-Marte; Christoph K. Hitzenberger, Editor(s)

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