Clinical Feasibility of Label-Free Digital Staining Using Mid-Infrared Microscopy at Subcellular Resolution

Laurent Duraffourg; H. Borges; M. Fernandes; Marine Beurrier-Bousquet; Joris Baraillon; Boris Taurel; Joël Le Galudec; Kim Vianey; C. Maisin; L. Samaison; Frederic Staroz; Mathieu Dupoy

doi:10.48550/arxiv.2601.16904

Clinical Feasibility of Label-Free Digital Staining Using Mid-Infrared Microscopy at Subcellular Resolution

arXiv (Cornell University) 2026 Preprint Open access

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Authors: Laurent Duraffourg, H. Borges, M. Fernandes, Marine Beurrier-Bousquet, Joris Baraillon, Boris Taurel, Joël Le Galudec, Kim Vianey, C. Maisin, L. Samaison, Frederic Staroz, Mathieu Dupoy

DOI: 10.48550/arxiv.2601.16904

Cited by: 0

Abstract

We present a rapid, large-field bimodal imaging platform that integrates conventional brightfield microscopy with a lensless IR imaging scanner, enabling whole-slide IR image stack acquisition in minutes. Using a dedicated deep learning model, we implement an optical HE staining strategy based on subcellular morpho-spectral fingerprinting.

Fields of Study & Subjects

Spectroscopy Techniques in Biomedical and Chemical Research Digital Holography and Microscopy Cell Image Analysis Techniques

Publication details

Journal / source: arXiv (Cornell University)
Publication date: 23 January 2026
Document type: Preprint