ArticleScience advances2024
Noninvasive virtual biopsy using micro-registered optical coherence tomography (OCT) in human subjects.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed, 31 citations in OpenAlex.
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- Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments.Nature biomedical engineering · 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
- Scanless temporal focusing enables high-speed three-dimensional quantitative phase microscopy.Research square · 2026Article
- Spectroscopic Analysis of the Extracellular Matrix Hierarchical Structure in Naked Mole-Rat Skin.Gels (Basel, Switzerland) · 2026Article
- Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images.NPJ breast cancer · 2026Article
- Scanless temporal focusing enables high-speed three-dimensional quantitative phase microscopy.bioRxiv : the preprint server for biology · 2026Article
- Advancements in Endoscopic Optical Coherence Tomography for Urothelial Carcinoma: Research Progress and Clinical ApplicationsCurrent medical imaging · 2026Review
- Towards time-resolved multiscale and multimodal imaging.Npj imaging · 2025Review
- Article
- Three-dimensional assessments are necessary to determine the true, spatially resolved composition of tissues.Cell reports methods · 2025Article
- Fast and label-free 3D virtual H&E histology via active phase modulation-assisted dynamic full-field OCT.Npj imaging · 2025Article
- Label-free optical microscopy with artificial intelligence: a new paradigm in pathology.Biophotonics discovery · 2025Review
- Multi-modality imaging technologies and machine learning for non-invasive, precise assessment of rabbit endometrium.Biomedical optics express · 2025Article
- Enhanced multiscale human brain imaging by semi-supervised digital staining and serial sectioning optical coherence tomography.Light, science & applications · 2025Article
- Optical coherence tomography (OCT) and OCT angiography: Technological development and applications in brain science.Theranostics · 2025Review
- Synthetic polarization-sensitive optical coherence tomography using contrastive unpaired translation.Scientific reports · 2024Article
- Imaging of prostate micro-architecture using three-dimensional wide-field optical coherence tomography.Biomedical optics express · 2024Article
- Novel imaging and biophysical approaches to study tissue hydraulics in mammalian folliculogenesis.Biophysical reviews · 2024Review
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 2 countries.
Funding
Abstract
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, and disease diagnosis. Producing H&E sections, however, is invasive and time-consuming. While deep learning has shown promise in virtual staining of unstained tissue slides, true virtual biopsy requires staining of images taken from intact tissue. In this work, we developed a micron-accuracy coregistration method [micro-registered optical coherence tomography (OCT)] that can take a two-dimensional (2D) H&E slide and find the exact corresponding section in a 3D OCT image taken from the original fresh tissue. We trained a conditional generative adversarial network using the paired dataset and showed high-fidelity conversion of noninvasive OCT images to virtually stained H&E slices in both 2D and 3D. Applying these trained neural networks to in vivo OCT images should enable physicians to readily incorporate OCT imaging into their clinical practice, reducing the number of unnecessary biopsy procedures.
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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.