ArticleBiomedical optics express2019
Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy.
Article in Biomedical optics express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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Who cites it
36 citing papers in PubMed.
- Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.NPJ digital medicine · 2026Article
- Label-free whole slide virtual multi-staining using dual-excitation photon absorption remote sensing microscopy.Npj imaging · 2026Article
- FPM2Stain Net: physics-guided super-resolution and multi-modal virtual staining for digital histopathology.Biomedical optics express · 2026Article
- Non-invasive Imaging Techniques: From Histology to In-vivo Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology.Nature biomedical engineering · 2025Article
- Scalable, trustworthy generative model for virtual multi-staining from H&E whole slide images.PLoS computational biology · 2025Article
- Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms.Biophotonics discovery · 2025Article
- Virtual Histology Staining of Skin Tissue using Ex Vivo Confocal Microscopy and Deep Learning.Journal of biomedical physics & engineering · 2025Article
- Virtual staining of label-free tissue in imaging mass spectrometry.Science advances · 2025Article
- Preserving spatial and quantitative information in unpaired biomedical image-to-image translation.Cell reports methods · 2025Article
- Pixel super-resolved virtual staining of label-free tissue using diffusion models.Nature communications · 2025Article
- Deciphering structural complexity of brain, joint, and muscle tissues using Fourier Ptychographic Scattered Light Microscopy.bioRxiv : the preprint server for biology · 2025Article
- A low-cost FPGA-based approach for pile-up corrected high-speedNeurophotonics · 2025Article
- AI-driven 3D bioprinting for regenerative medicine: From bench to bedside.Bioactive materials · 2025Review
- Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.BME frontiers · 2025Article
- Low-cost and label-free blue light cystoscopy through digital staining of white light cystoscopy videos.Communications medicine · 2024Article
- Towards next-generation diagnostic pathology: AI-empowered label-free multiphoton microscopy.Light, science & applications · 2024Review
- In Vivo Intelligent Fluorescence Endo-Microscopy by Varifocal Meta-Device and Deep Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Virtual histological staining of unlabeled autopsy tissue.Nature communications · 2024Article
- Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images.Npj imaging · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Deep neural networks have been used to map multi-modal, multi-photon microscopy measurements of a label-free tissue sample to its corresponding histologically stained brightfield microscope colour image. It is shown that the extra structural and functional contrasts provided by using two source modes, namely two-photon excitation microscopy and fluorescence lifetime imaging, result in a more faithful reconstruction of the target haematoxylin and eosin stained mode. This modal mapping procedure can aid histopathologists, since it provides access to unobserved imaging modalities, and translates the high-dimensional numerical data generated by multi-modal, multi-photon microscopy into traditionally accepted visual forms. Furthermore, by combining the strengths of traditional chemical staining and modern multi-photon microscopy techniques, modal mapping enables label-free, non-invasive studies of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.