ReviewMed (New York, N.Y.)2023
Tissue clearing and 3D reconstruction of digitized, serially sectioned slides provide novel insights into pancreatic cancer.
Review in Med (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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Who cites it
29 citing papers in PubMed, 38 citations in OpenAlex.
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images.Nature protocols · 2026Review
- Virtual multiplex staining of the pancreatic islets across type 1 diabetes progression using a Schrödinger bridge.bioRxiv : the preprint server for biology · 2026Article
- Three-dimensional reconstruction of gigapixel whole-mount histopathology specimens with RAPID.Scientific reports · 2026Article
- SparStVR - exploring sparse 3D histology data in virtual reality.Communications engineering · 2026Article
- [Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].Pathologie (Heidelberg, Germany) · 2026Article
- Biomechanics-Driven 3D Architecture Inference from Histology Using CellSqueeze3D.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Current progress of labeling strategies in tissue clearing for large-scale biological visualization.Frontiers in cell and developmental biology · 2026Review
- Whole-heart 3D reconstruction of mouse CVB3 myocarditis reveals spatial and transcriptomic heterogeneity of immune foci.Cardiovascular research · 2025Article
- Collective migration modes in development, tissue repair and cancer.Nature reviews. Molecular cell biology · 2025Review
- Three-dimensional reconstruction of lung tumors from computed tomography scans using adversarial and transductive learning.Scientific reports · 2025Article
- Artificial intelligence-assisted surgical simulation system based on non-enhanced computed tomography images in thoracoscopic pulmonary segmentectomies.Journal of thoracic disease · 2025Article
- Generating 2.5D pathology for enhanced viewing and AI diagnosis.Journal of pathology informatics · 2025Article
- InterpolAI: deep learning-based optical flow interpolation and restoration of biomedical images for improved 3D tissue mapping.Nature methods · 2025Article
- Three-dimensional assessments are necessary to determine the true, spatially resolved composition of tissues.Cell reports methods · 2025Article
- Digital modeling of the gallbladder for revealing microanatomical features and optimizing surgical approaches in gallbladder-preserving cholelithotomy.Frontiers in physiology · 2025Article
- Laser capture microdissection.Nature reviews. Methods primers · 2025Article
- Spatial oncology: Translating contextual biology to the clinic.Cancer cell · 2024Review
- Combined assembloid modeling and 3D whole-organ mapping captures the microanatomy and function of the human fallopian tube.Science advances · 2024Article
- Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning.ArXiv · 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
12 authors at 2 institutions in 3 countries.
Funding
Abstract
Pancreatic cancer is currently the third leading cause of cancer death in the United States. The clinical hallmarks of this disease include abdominal pain that radiates to the back, the presence of a hypoenhancing intrapancreatic lesion on imaging, and widespread liver metastases. Technologies such as tissue clearing and three-dimensional (3D) reconstruction of digitized serially sectioned hematoxylin and eosin-stained slides can be used to visualize large (up to 2- to 3-centimeter cube) tissues at cellular resolution. When applied to human pancreatic cancers, these 3D visualization techniques have provided novel insights into the basis of a number of the clinical characteristics of this disease. Here, we describe the clinical features of pancreatic cancer, review techniques for clearing and the 3D reconstruction of digitized microscope slides, and provide examples that illustrate how 3D visualization of human pancreatic cancer at the microscopic level has revealed features not apparent in 2D microscopy and, in so doing, has closed the gap between bench and bedside. Compared with animal models and 2D microscopy, studies of human tissues in 3D can reveal the difference between what can happen and what does happen in human cancers.
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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.