ArticlePloS one2015
A Method for 3D Histopathology Reconstruction Supporting Mouse Microvasculature Analysis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 36 citations in OpenAlex.
- Three-dimensional high-content imaging of unstained soft tissue with subcellular resolution using a laboratory-based X-ray microscope.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cryo-X-Ray Phase Contrast Imaging Enables Combined 3D Structural Quantification and Nucleic Acid Analysis of Myocardial Biopsies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Feasibility and safety of synchrotron-based X-ray phase contrast imaging as a technique complementary to histopathology analysis.Histochemistry and cell biology · 2023Article
- Comparison of consecutive and restained sections for image registration in histopathology.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Three-dimensional imaging and analysis of pathological tissue samples with de novo generation of citrate-based fluorophores.Science advances · 2022Article
- An integrative web-based software tool for multi-dimensional pathology whole-slide image analytics.Physics in medicine and biology · 2022Article
- Three-dimensional reconstruction of systematic histological sections: application to observations on palatal shelf elevation.International journal of oral science · 2021Article
- Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network: Proof-of-Concept Study.The American journal of pathology · 2021Article
- Regenerated Microvascular Networks in Ischemic Skeletal Muscle.Frontiers in physiology · 2021Article
- Recent advances in tissue imaging for cancer research.F1000Research · 2019Review
- Comparative analysis of tissue reconstruction algorithms for 3D histology.Bioinformatics (Oxford, England) · 2018Article
- Label-free automated three-dimensional imaging of whole organs by microtomy-assisted photoacoustic microscopy.Nature communications · 2017Article
- Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks.Medical image analysis · 2017Article
- Differentiation of arterioles from venules in mouse histology images using machine learning.Journal of medical imaging (Bellingham, Wash.) · 2017Article
- DYNAMIC REGISTRATION FOR GIGAPIXEL SERIAL WHOLE SLIDE IMAGES.Proceedings. IEEE International Symposium on Biomedical Imaging · 2017Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural abnormalities of the microvasculature can impair perfusion and function. Conventional histology provides good spatial resolution with which to evaluate the microvascular structure but affords no 3-dimensional information; this limitation could lead to misinterpretations of the complex microvessel network in health and disease. The objective of this study was to develop and evaluate an accurate, fully automated 3D histology reconstruction method to visualize the arterioles and venules within the mouse hind-limb. Sections of the tibialis anterior muscle from C57BL/J6 mice (both normal and subjected to femoral artery excision) were reconstructed using pairwise rigid and affine registrations of 5 µm-thick, paraffin-embedded serial sections digitized at 0.25 µm/pixel. Low-resolution intensity-based rigid registration was used to initialize the nucleus landmark-based registration, and conventional high-resolution intensity-based registration method. The affine nucleus landmark-based registration was developed in this work and was compared to the conventional affine high-resolution intensity-based registration method. Target registration errors were measured between adjacent tissue sections (pairwise error), as well as with respect to a 3D reference reconstruction (accumulated error, to capture propagation of error through the stack of sections). Accumulated error measures were lower (p < 0.01) for the nucleus landmark technique and superior vasculature continuity was observed. These findings indicate that registration based on automatic extraction and correspondence of small, homologous landmarks may support accurate 3D histology reconstruction. This technique avoids the otherwise problematic "banana-into-cylinder" effect observed using conventional methods that optimize the pairwise alignment of salient structures, forcing them to be section-orthogonal. This approach will provide a valuable tool for high-accuracy 3D histology tissue reconstructions for analysis of diseased microvasculature.
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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.