AI-driven 3D imaging and analysis of multiple-scattering samples with label-free diffraction microscopy

Long-term three-dimensional (3D) imaging of multicellular objects remains difficult due to strong multiple scattering, large spatio-temporal scales, and the need to preserve sample viability. Label-free approaches offer endogenous contrast but rarely combine high-throughput, temporal stability, and...

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Bibliographic Details

Main Authors:	Sylvia Desissaire, Cécile Fiche, Guillaume Godefroy, Olivier Cioni, Emeline Lambert, Lionel Hervé, Edgar del Llano, Celia Tebbakh, Xavier Mermet, Vincent Remondière, Corinne Loeuillet, Kiran Padmanabhan, Pierre F Ray, Chiara Paviolo
Format:	Artigo
Language:	Inglês
Published:	IOP Publishing 2026-01-01
Series:	JPhys Photonics
Subjects:	intensity diffraction tomography 3D imaging multiple scattering samples computational microscopy AI-based biological analysis smart microscopy
Online Access:	https://doi.org/10.1088/2515-7647/ae768b
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