Loss Minimized Data Reduction in Single-Cell Tomographic Phase Microscopy Using 3D Zernike Descriptors

Loss Minimized Data Reduction in Single-Cell Tomographic Phase Microscopy Using 3D Zernike Descriptors

Tomographic phase microscopy (TPM) in flow cytometry is one of the most promising computational imaging techniques for the quantitative 3-dimensional (3D) analysis of unstained single cells. Continuous cells’ flow, combined with the stain-free mode, can assure the high-throughput collection of quant...

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Bibliographic Details
Main Authors: Pasquale Memmolo, Daniele Pirone, Daniele Gaetano Sirico, Lisa Miccio, Vittorio Bianco, Ahmed Bassam Ayoub, Demetri Psaltis, Pietro Ferraro
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2023-01-01
Series:Intelligent Computing
Online Access:https://spj.science.org/doi/10.34133/icomputing.0010

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