Health AI Central
Peer-Reviewed Publication
Sci Rep2025;15(1):42310.November 27, 2025Journal Article

Enhancing classification of rare white blood cells in FPM with a physics-inspired GAN.

Houda Hassini1, Bernadette Dorizzi1, Vincent Leymarie2, Jacques Klossa3,4, Yaneck Gottesman5
1Samovar, Télécom SudParis, Institut Polytechnique de Paris, 91120, Palaiseau, France.
2Laboratoire d'Hématologie, HUPSSD, Hôpital Avicenne, AP-HP, 93009, Bobigny, France.
3TRIBVN, 92200, Neuilly, France.
4T-life, 75004, Paris, France.
5Samovar, Télécom SudParis, Institut Polytechnique de Paris, 91120, Palaiseau, France. yaneck.gottesman@telecom-sudparis.eu.
PubMed PMC DOI PDF

Abstract

In this work, we propose a novel GAN-based architecture, termed Physics-Inspired GAN (PI-GAN), to generate synthetic bimodal data comprising both intensity and phase images as produced through Fourier Ptychographic Microscopy (FPM). By explicitly incorporating the forward model of image formation into the GAN architecture, our approach ensures that the physical relationship between the intensity a…

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