ArticleNature communications2025
Pixel super-resolved virtual staining of label-free tissue using diffusion models.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- AI-driven dual-mode phase and label-free fluorescence imaging platform using a single-shot gabor hologram.Microsystems & nanoengineering · 2026Article
- Optical digital twins for disease prevention, diagnosis, therapy, and intervention.Journal of biomedical optics · 2026Review
- Hybrid deep reconstruction for vignetting-free upconversion imaging through scattering in epsilon-near-zero materials.Light, science & applications · 2026Article
- Bridging annotated microscopy imaging data and analysis method development for scientific discovery.Patterns (New York, N.Y.) · 2026Review
- Label-free 3D virtual histology of human formalin-fixed paraffin-embedded (FFPE) prostate needle biopsies with propagation-based phase-contrast micro-CT (PBCT).bioRxiv : the preprint server for biology · 2026Article
- High-precision label-free virtual H&E staining of 3D holotomography using DAPI-guided conditional diffusion learning.International journal of computer assisted radiology and surgery · 2026Article
- Virtual multiplex staining of the pancreatic islets across type 1 diabetes progression using a Schrödinger bridge.bioRxiv : the preprint server for biology · 2026Article
- Scanless temporal focusing enables high-speed three-dimensional quantitative phase microscopy.Research square · 2026Article
- 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
- Scanless temporal focusing enables high-speed three-dimensional quantitative phase microscopy.bioRxiv : the preprint server for biology · 2026Article
- FPM2Stain Net: physics-guided super-resolution and multi-modal virtual staining for digital histopathology.Biomedical optics express · 2026Article
- Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.BME frontiers · 2026Article
- Mid-infrared microscopy for label-free digital staining: initial clinical assessment.Frontiers in bioengineering and biotechnology · 2026Article
- Article
- Deep Learning-Enabled Virtual Multiplexed Immunostaining of Label-Free Tissue for Vascular Invasion Assessment.BME frontiers · 2026Article
- Virtual staining of label-free tissue in imaging mass spectrometry.Science advances · 2025Article
- VS-FPM: Large-Format, Label-Free Virtual Histopathology Microscopy.BME frontiers · 2025Article
- Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.BME frontiers · 2025Article
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Authors and funding
6 authors.
Funding
Abstract
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staining approach utilizing a Brownian bridge process to enhance both the spatial resolution and fidelity of label-free virtual tissue staining, addressing the limitations of traditional deep learning-based methods. Our approach integrates sampling techniques into a diffusion model-based image inference process to significantly reduce the variance in the generated virtually stained images, resulting in more stable and accurate outputs. Blindly applied to lower-resolution auto-fluorescence images of label-free human lung tissue samples, the diffusion-based pixel super-resolution virtual staining model consistently outperforms conventional approaches in resolution, structural similarity and perceptual accuracy, successfully achieving a pixel super-resolution factor of 4-5×, increasing the output space-bandwidth product by 16-25-fold compared to the input label-free microscopy images. Diffusion-based pixel super-resolved virtual tissue staining not only improves resolution and image quality but also enhances the reliability of virtual staining without traditional chemical staining, offering significant potential for clinical diagnostics.
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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.