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

TL;DR

This paper introduces a fast, large-area imaging platform combining brightfield and mid-infrared microscopy, utilizing deep learning for label-free digital staining at subcellular resolution, potentially transforming histopathology workflows.

Contribution

It presents a novel bimodal imaging system with rapid IR image acquisition and a deep learning-based optical staining method for subcellular tissue analysis.

Findings

Whole-slide IR imaging in minutes

Effective label-free digital staining achieved

Deep learning enables subcellular resolution analysis

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.