Single-cell phase-contrast tomograms data encoded by 3D Zernike descriptors

2022/07/11 by Pasquale Memmolo, Daniele Pirone, Memmolo, Pasquale +13
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Cell Image Analysis Techniques #Digital Holography and Microscopy #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Optics (physics.optics) #Single-cell and spatial transcriptomics #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2207.04854

openalex publication_date 2022/07/11 · openalex created_date 2022/07/14 · openalex updated_date 2026/07/28

Abstract

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.

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