ArticleThe American journal of pathology2012
Toward routine use of 3D histopathology as a research tool.
Article in The American journal of pathology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 69 papers.
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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.
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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
69 citing papers in PubMed.
- An X-ray micro-CT protocol enables non-destructive 3D visualization of glandular architecture in archived paraffin-embedded prostate cancer tissue.The journal of pathology. Clinical research · 2026Article
- Blended and digital approaches in histology and pathology teaching: A scoping review.Anatomical sciences education · 2026Article
- SparStVR - exploring sparse 3D histology data in virtual reality.Communications engineering · 2026Article
- Multiplane 2.5D microscopy for high-throughput high-resolution tissue imaging.Journal of biomedical optics · 2025Article
- Generating 2.5D pathology for enhanced viewing and AI diagnosis.Journal of pathology informatics · 2025Article
- Digital Pathology Tailored for Assessment of Liver Biopsies.Biomedicines · 2025Article
- Machine learning methods for histopathological image analysis: Updates in 2024.Computational and structural biotechnology journal · 2025Review
- Three-dimensional exploration of the chicken embryo, a comparative study of light sheet and histological visualisation.PloS one · 2025Article
- Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning.ArXiv · 2024Article
- Serial section histopathology image dataset of colon and pancreas tissue captured through light microscope.Data in brief · 2024Article
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- Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site.NPJ precision oncology · 2024Article
- Article
- 3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2023Article
- The relationship between Meckel's cartilage resorption and incisor tooth germ in mice.Journal of anatomy · 2023Article
- An End-to-end Pipeline for 3D Slide-wise Multi-stain Renal Pathology Registration.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Phosphotungstic acid (PTA) preferentially binds to collagen- rich regions of porcine carotid arteries and human atherosclerotic plaques observed using contrast enhanced micro-computed tomography (CE-µCT).Frontiers in physiology · 2023Article
- Three-dimensional imaging and analysis of pathological tissue samples with de novo generation of citrate-based fluorophores.Science advances · 2022Article
- CODA: quantitative 3D reconstruction of large tissues at cellular resolution.Nature methods · 2022Article
- Cryogenic contrast-enhanced microCT enables nondestructive 3D quantitative histopathology of soft biological tissues.Nature communications · 2022Article
9 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
10 authors.
Funding
Abstract
Three-dimensional (3D) reconstruction and examination of tissue at microscopic resolution have significant potential to enhance the study of both normal and disease processes, particularly those involving structural changes or those in which the spatial relationship of disease features is important. Although other methods exist for studying tissue in 3D, using conventional histopathological features has significant advantages because it allows for conventional histopathological staining and interpretation techniques. Until now, its use has not been routine in research because of the technical difficulty in constructing 3D tissue models. We describe a novel system for 3D histological reconstruction, integrating whole-slide imaging (virtual slides), image serving, registration, and visualization into one user-friendly package. It produces high-resolution 3D reconstructions with minimal user interaction and can be used in a histopathological laboratory without input from computing specialists. It uses a novel method for slice-to-slice image registration using automatic registration algorithms custom designed for both virtual slides and histopathological images. This system has been applied to >300 separate 3D volumes from eight different tissue types, using a total of 5500 virtual slides comprising 1.45 TB of primary image data. Qualitative and quantitative metrics for the accuracy of 3D reconstruction are provided, with measured registration accuracy approaching 120 μm for a 1-cm piece of tissue. Both 3D tissue volumes and generated 3D models are presented for four demonstrator cases.
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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.