Statistical Tomography of Microscopic Life
Aviad Levis, Yoav Y. Schechner, Ronen Talmon
Abstract
We achieve tomography of 3D volumetric natural objects, where each projected 2D image corresponds to a different specimen. Each specimen has unknown random 3D orientation, location, and scale. This imaging scenario is relevant to microscopic and mesoscopic organisms, aerosols and hydrosols viewed naturally by a microscope. In-class scale variation inhibits prior single-particle reconstruction methods. We thus generalize tomographic recovery to account for all degrees of freedom of a similarity transformation. This enables geometric self-calibration in imaging of transparent objects. We make the computational load manageable and reach good quality reconstruction in a short time. This enables extraction of statistics that are important for a scientific study of specimen populations, specifically size distribution parameters. We apply the method to study of plankton.
BibTeX
@inproceedings{cvpr2018_statisticaltomog,
title = {Statistical Tomography of Microscopic Life},
author = {Aviad Levis and Yoav Y. Schechner and Ronen Talmon},
booktitle = {CVPR 2018},
year = {2018}
}