ReviewBME frontiers2020
Emerging Advances to Transform Histopathology Using Virtual Staining.
Review in BME frontiers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Bioassays in Allergy: Technical Characteristics, Limitations, and Pathways to Clinical Implementation-An EAACI Position Paper.Clinical and translational allergy · 2026Review
- A Vascularized, Adipose-Containing Human Skin Equivalent Enables Long-Term Culture and Models Orthopoxvirus-Mediated Immune Suppression.Journal of functional biomaterials · 2026Article
- Hardware-Attentive Programmable Fourier Ptychography Enables Task-Adaptive Label-Free Virtual Staining.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dual-Modal Autofluorescence Microscopy for CycleGAN-Based H&E-like Image Generation in Liver Tissue: A Preliminary Proof-of-Concept Study.Diagnostics (Basel, Switzerland) · 2026Article
- Rapid slide-level assessment of glomerular yield using virtual staining of unstained renal biopsy sections.Diagnostic pathology · 2026Article
- Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images.NPJ breast cancer · 2026Article
- Applications and challenges of utilizing digital pathology and AI-enabled workflows in clinical trials.Journal of pathology informatics · 2026Review
- A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology.Nature biomedical engineering · 2025Article
- Chemically-induced histopathological progression in the polycystic ovary syndrome (PCOS)- A review.Toxicological research · 2025Review
- The Micro-Structure of the Celiac Ganglia-A Two-Photon Microscopy Study on Parkinson's Disease.Diagnostics (Basel, Switzerland) · 2025Article
- Exploring Multiplex Immunohistochemistry (mIHC) Techniques and Histopathology Image Analysis: Current Practice and Potential for Clinical Incorporation.Cancer medicine · 2025Review
- Data-driven nucleus subclassification on colon hematoxylin and eosin using style-transferred digital pathology.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Image Analysis in Histopathology and Cytopathology: From Early Days to Current Perspectives.Journal of imaging · 2024Review
- AI-based computational H&E staining in lymphomas.Journal of hematopathology · 2024Article
- SHG Fiberscopy Assessment of Collagen Morphology and Its Potential for Breast Cancer Optical Histology.IEEE transactions on bio-medical engineering · 2024Article
- Exceeding the limit for microscopic image translation with a deep learning-based unified framework.PNAS nexus · 2024Article
- An end-to-end workflow for nondestructive 3D pathology.Nature protocols · 2024Review
- Virtual histological staining of unlabeled autopsy tissue.Nature communications · 2024Article
- Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.Scientific reports · 2024Article
- Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site.NPJ precision oncology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In an age where digitization is widespread in clinical and preclinical workflows, pathology is still predominantly practiced by microscopic evaluation of stained tissue specimens affixed on glass slides. Over the last decade, new high throughput digital scanning microscopes have ushered in the era of digital pathology that, along with recent advances in machine vision, have opened up new possibilities for Computer-Aided-Diagnoses. Despite these advances, the high infrastructural costs related to digital pathology and the perception that the digitization process is an additional and nondirectly reimbursable step have challenged its widespread adoption. Here, we discuss how emerging virtual staining technologies and machine learning can help to disrupt the standard histopathology workflow and create new avenues for the diagnostic paradigm that will benefit patients and healthcare systems alike via digital pathology.
Identifiers
What OpenQuestion holds
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.