Encoding single-cell phase-contrast tomograms by 3D Zernike descriptors

Pasquale Memmolo; Daniele Pirone; Daniele G. Sirico; Lisa Miccio; Vittorio Bianco; Ahmed B. Ayoub; Demetri Psaltis; Pietro Ferraro

doi:10.1117/12.2674829

11 August 2023 Encoding single-cell phase-contrast tomograms by 3D Zernike descriptors

Pasquale Memmolo, Daniele Pirone, Daniele G. Sirico, Lisa Miccio, Vittorio Bianco, Ahmed B. Ayoub, Demetri Psaltis, Pietro Ferraro

Author Affiliations +

Proceedings Volume 12622, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI; 126220C (2023) https://doi.org/10.1117/12.2674829
Event: SPIE Optical Metrology, 2023, Munich, Germany

Abstract

The recent development of tomographic phase imaging flow cytometry has unlocked the possibility to achieve data throughput comparable to the state-of-the-art imaging flow cytometry systems, but with the great advantages to be fully label-free and 3D. On the other hand, the huge amount of data to manage becomes one of the main computational problems to face with. Here we show that by using the 3D version of Zernike polynomials it is possible to efficiently encode single-cell phase-contrast tomograms, demonstrating high data compression capability with negligible information loss. A full simulative analysis is reported also quantifying the trade-off between compression factor and representation accuracy.

Conference Presentation

Citation Download Citation

Pasquale Memmolo, Daniele Pirone, Daniele G. Sirico, Lisa Miccio, Vittorio Bianco, Ahmed B. Ayoub, Demetri Psaltis, and Pietro Ferraro "Encoding single-cell phase-contrast tomograms by 3D Zernike descriptors", Proc. SPIE 12622, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials VI, 126220C (11 August 2023); https://doi.org/10.1117/12.2674829

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