@inproceedings{1986e35c876448a7a8e3e659be824aa3,
title = "Imaging cell clusters and tissue using learning tomography",
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.",
keywords = "Biological Imaging, Digital Holography, Machine Learning, Optical Tomography, Optimization",
author = "{Hasani Shoreh}, M. and A. Goy and J. Lim and U. Kamilov and M. Unser and D. Psaltis",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III 2017 ; Conference date: 26-06-2017 Through 28-06-2017",
year = "2017",
doi = "10.1117/12.2275250",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Pietro Ferraro and Simonetta Grilli and Monika Ritsch-Marte and Hitzenberger, {Christoph K.}",
booktitle = "Optical Methods for Inspection, Characterization, and Imaging of Biomaterials III",
}