ReviewNature protocols2024
An end-to-end workflow for nondestructive 3D pathology.
Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed.
- Expanded methods for geometric location of 2D bone histology co-registration in 3D radiology volumes.Physical and engineering sciences in medicine · 2026Article
- Deep-learning triage of three-dimensional pathology datasets for comprehensive and efficient pathologist assessments.Nature biomedical engineering · 2026Article
- Assessing the Effects of a 3-Dimensional (3D) Pathology Tissue-Processing Workflow on Downstream Molecular Analyses.Laboratory investigation; a journal of technical methods and pathology · 2026Article
- Prototype-based AI triage for 3D pathology.bioRxiv : the preprint server for biology · 2026Article
- Scalable 3D cell-interaction analysis via supercell graphs for prostate cancer risk stratification.bioRxiv : the preprint server for biology · 2026Article
- 3D pathology-guided microdissection.Nature methods · 2026Article
- Hybrid solid-liquid optics enable scalable, high-resolution light-sheet microscopy across diverse immersion media.Nature biotechnology · 2026Article
- A systematic comparison of cavitation regimes and histotripsy efficiency across pulse duration and repetition rate in a fibrous tissue mimicking phantom.Research square · 2026Article
- Volumetric Cyclic Immunofluorescence for 3D Spatial Profiling of Immune Structures in Human FFPE Tissue.bioRxiv : the preprint server for biology · 2026Article
- Can micro-CT distinguish between solid lung tumors? A comparative evaluation including solid adenocarcinoma, non-keratinizing squamous cell carcinoma, and carcinoid tumor.Journal of pathology and translational medicine · 2026Article
- Assessing the effects of a 3D pathology tissue-processing workflow on downstream molecular analyses.bioRxiv : the preprint server for biology · 2026Article
- Rapid Arbitrary-Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- VASCilia is an open-source, deep learning-based tool for 3D analysis of cochlear hair cell stereocilia bundles.PLoS biology · 2026Article
- A Proof-of-Concept Solution for Co-locating 2D Histology Images in 3D for Histology-to-CT and MR Image Registration: Closing the Loop for Bone Sarcoma Treatment Planning.Journal of imaging informatics in medicine · 2025Article
- 3D pathology-guided microdissection.bioRxiv : the preprint server for biology · 2025Article
- Hybrid Solid-Liquid Optics Enable Scalable, High-Resolution, Multi-Immersion Light-Sheet Microscopy.bioRxiv : the preprint server for biology · 2025Article
- First application of three-dimensional light sheet fluorescence microscopy to human testicular tumors: New perspectives in histopathology.Andrology · 2025Article
- VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles.bioRxiv : the preprint server for biology · 2025Article
- Vaginal biomechanical function in premenopausal and postmenopausal women with and without pelvic organ prolapse.Scientific reports · 2025Article
- Delivery of a fibrin-binding hemostatic polymer ameliorates neurovascular damage and neural tissue loss after traumatic brain injury.Science advances · 2025Article
Corrections and comments
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Authors and funding
18 authors.
Funding
Abstract
Recent advances in 3D pathology offer the ability to image orders of magnitude more tissue than conventional pathology methods while also providing a volumetric context that is not achievable with 2D tissue sections, and all without requiring destructive tissue sectioning. Generating high-quality 3D pathology datasets on a consistent basis, however, is not trivial and requires careful attention to a series of details during tissue preparation, imaging and initial data processing, as well as iterative optimization of the entire process. Here, we provide an end-to-end procedure covering all aspects of a 3D pathology workflow (using light-sheet microscopy as an illustrative imaging platform) with sufficient detail to perform well-controlled preclinical and clinical studies. Although 3D pathology is compatible with diverse staining protocols and computationally generated color palettes for visual analysis, this protocol focuses on the use of a fluorescent analog of hematoxylin and eosin, which remains the most common stain used for gold-standard pathological reports. We present our guidelines for a broad range of end users (e.g., biologists, clinical researchers and engineers) in a simple format. The end-to-end workflow requires 3-6 d to complete, bearing in mind that data analysis may take longer.
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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.