ArticleNature communications2022
An analysis modality for vascular structures combining tissue-clearing technology and topological data analysis.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Topological Complexity Determines the Frequency of Branching Variations in the Celiac Trunk-Superior Mesenteric Artery System.Journal of hepato-biliary-pancreatic sciences · 2026Article
- Resilience of the bone marrow vascular architecture to aging and hematological stress.Blood vessels, thrombosis & hemostasis · 2026Article
- Fluorescent Labeling Methods for Brain Structure Research.Molecules (Basel, Switzerland) · 2026Review
- Innovative Technologies for Kidney Research: Three-Dimensional Imaging and Quantification.Seminars in nephrology · 2026Review
- A high-resolution dataset of mouse brain vasculature for deep learning-based reconstruction.Frontiers in neuroinformatics · 2026Article
- CDC42-effector interaction inhibitors alter patterns of vessel arborization in skin and tumorsiScience · 2025Article
- Unlocking the potential of large-scale 3D imaging with tissue clearing techniques.Microscopy (Oxford, England) · 2025Review
- Intravital imaging of pulmonary lymphatics in inflammation and metastatic cancer.The Journal of experimental medicine · 2025Article
- In situ isotropic 3D imaging of vasculature perfusion specimens using x-ray microscopic dual-energy CT.Journal of microscopy · 2025Article
- Topological data analysis in single cell biology.Frontiers in immunology · 2025Review
- Three-dimensional characteristics of T cells and vasculature in the development of mouse esophageal cancer.iScience · 2024Article
- LungVis 1.0: an automatic AI-powered 3D imaging ecosystem unveils spatial profiling of nanoparticle delivery and acinar migration of lung macrophages.Nature communications · 2024Article
- Intravital imaging of pulmonary lymphatics in inflammation and metastatic cancer.bioRxiv : the preprint server for biology · 2024Article
- Streamlining neuroradiology workflow with AI for improved cerebrovascular structure monitoring.Scientific reports · 2024Article
- Deep learning-based vessel extraction in 3D confocal microscope images of cleared human glioma tissues.Biomedical optics express · 2024Article
- Blueprints from plane to space: outlook of next-generation three-dimensional histopathology.Cancer science · 2024Review
- Tissue clearing method in visualization of cancer progression and metastasis.Upsala journal of medical sciences · 2024Review
- ML-driven segmentation of microvascular features during histological examination of tissue-engineered vascular grafts.Frontiers in bioengineering and biotechnology · 2024Article
- Semi-automated protocol to quantify and characterize fluorescent three-dimensional vascular images.PloS one · 2024Article
- Successful 3D imaging of cleared biological samples with light sheet fluorescence microscopy.The Journal of cell biology · 2023Review
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The blood and lymphatic vasculature networks are not yet fully understood even in mouse because of the inherent limitations of imaging systems and quantification methods. This study aims to evaluate the usefulness of the tissue-clearing technology for visualizing blood and lymphatic vessels in adult mouse. Clear, unobstructed brain/body imaging cocktails and computational analysis (CUBIC) enables us to capture the high-resolution 3D images of organ- or area-specific vascular structures. To evaluate these 3D structural images, signals are first classified from the original captured images by machine learning at pixel base. Then, these classified target signals are subjected to topological data analysis and non-homogeneous Poisson process model to extract geometric features. Consequently, the structural difference of vasculatures is successfully evaluated in mouse disease models. In conclusion, this study demonstrates the utility of CUBIC for analysis of vascular structures and presents its feasibility as an analysis modality in combination with 3D images and mathematical frameworks.
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