Article

Label-free phenotyping of human microvessel networks

2024-02-21

Abstract excerpt

Understanding the spatial heterogeneity in blood vessel formation and development is crucial for various biomedical applications. Traditional methods for in-vitro microvessel segmentation rely on fluorescent labeling, which either interferes with the sample homeostasis, limits the study to a restricted set of precursor cells, or requires sample fixation, thus preventing live measurements. Moreover, these methods...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 6bc48b3a-9c26-571f-941e-37a969a4e263
DOI: 10.1101/2024.02.20.581133

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Label-free phenotyping of human microvessel networksDOI 10.1101/2024.02.20.581133Read

Anatomical modeling of brain vasculature in two-photon microscopy by generalizable deep learningSemantic proximity Read

3DVascNet: an automated software for segmentation and quantification of vascular networks in 3DSemantic proximity Read

tUbe net: a generalisable deep learning tool for 3D vessel segmentationSemantic proximity Read

Vessel Spatial Analysis (VeSpA): a tool for whole slide image segmentation, morphometry, and QuPath extensionSemantic proximity Read

Cross-Modal Training Using Xenium Spatial Transcriptomics Enables DINO-DETR Based Detection of Vascular Niches in H&E Whole-Slide ImagesSemantic proximity Read

A deep learning approach for improving two-photon vascular imaging speedsSemantic proximity Read

Vessel Metrics: A python based software tool for automated analysis of vascular structure in confocal imagingSemantic proximity Read

Deep Learning Enables Genome-Wide Association Studies of Microvascular FeaturesSemantic proximity Read

Unsupervised segmentation of 3D microvascular photoacoustic images using deep generative learningSemantic proximity Read

A Novel and Open-Source Application for Vasculature Dataset Analysis and VisualizationSemantic proximity Read

Anatomical structures, cell types, and biomarkers of the healthy human blood vasculatureSemantic proximity Read

ImmuNet: A Segmentation-Free Machine Learning Pipeline for Immune Landscape Phenotyping in Tumors by Muliplex ImagingSemantic proximity Read