Phase-contrast tomographic flow cytometry combines quantitative 3D analysis of unstained single cells and high-throughput. A crucial issue of this method is the storage and management of the huge amount of 3D tomographic data. Here we show an effective quasi lossless compression of tomograms data through 3D Zernike descriptors, unlocking data management tasks and computational pipelines that were unattainable until now.
@article{arxiv.2207.04854,
title = {Single-cell phase-contrast tomograms data encoded by 3D Zernike descriptors},
author = {Pasquale Memmolo and Daniele Pirone and Daniele G. Sirico and Lisa Miccio and Vittorio Bianco and Ahmed B. Ayoub and Demetri Psaltis and Pietro Ferraro},
journal= {arXiv preprint arXiv:2207.04854},
year = {2022}
}