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

Fuente: arXiv
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Main Authors: Duraffourg, L., Borges, H., Fernandes, M., Beurrier-Bousquet, M., Baraillon, J., Taurel, B., Galudec, J. Le, Vianey, K., Maisin, C., Samaison, L., Staroz, F., Dupoy, M.
Format: Preprint
Published: 2026
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author Duraffourg, L.
Borges, H.
Fernandes, M.
Beurrier-Bousquet, M.
Baraillon, J.
Taurel, B.
Galudec, J. Le
Vianey, K.
Maisin, C.
Samaison, L.
Staroz, F.
Dupoy, M.
author_facet Duraffourg, L.
Borges, H.
Fernandes, M.
Beurrier-Bousquet, M.
Baraillon, J.
Taurel, B.
Galudec, J. Le
Vianey, K.
Maisin, C.
Samaison, L.
Staroz, F.
Dupoy, M.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2601_16904
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Clinical Feasibility of Label-Free Digital Staining Using Mid-Infrared Microscopy at Subcellular Resolution
Duraffourg, L.
Borges, H.
Fernandes, M.
Beurrier-Bousquet, M.
Baraillon, J.
Taurel, B.
Galudec, J. Le
Vianey, K.
Maisin, C.
Samaison, L.
Staroz, F.
Dupoy, M.
Optics
Image and Video Processing
Biological Physics
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.
title Clinical Feasibility of Label-Free Digital Staining Using Mid-Infrared Microscopy at Subcellular Resolution
topic Optics
Image and Video Processing
Biological Physics
url https://arxiv.org/abs/2601.16904