Methods to label, image, and analyze the complex structural architectures of microvascular networks.
blood vessels
image analysis
image quantification
microvasculature
vascular network
vessel architecture
Journal
Microcirculation (New York, N.Y. : 1994)
ISSN: 1549-8719
Titre abrégé: Microcirculation
Pays: United States
ID NLM: 9434935
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
14
09
2018
revised:
31
10
2018
accepted:
26
11
2018
pubmed:
15
12
2018
medline:
15
5
2020
entrez:
15
12
2018
Statut:
ppublish
Résumé
Microvascular networks play key roles in oxygen transport and nutrient delivery to meet the varied and dynamic metabolic needs of different tissues throughout the body, and their spatial architectures of interconnected blood vessel segments are highly complex. Moreover, functional adaptations of the microcirculation enabled by structural adaptations in microvascular network architecture are required for development, wound healing, and often invoked in disease conditions, including the top eight causes of death in the Unites States. Effective characterization of microvascular network architectures is not only limited by the available techniques to visualize microvessels but also reliant on the available quantitative metrics that accurately delineate between spatial patterns in altered networks. In this review, we survey models used for studying the microvasculature, methods to label and image microvessels, and the metrics and software packages used to quantify microvascular networks. These programs have provided researchers with invaluable tools, yet we estimate that they have collectively attained low adoption rates, possibly due to limitations with basic validation, segmentation performance, and nonstandard sets of quantification metrics. To address these existing constraints, we discuss opportunities to improve effectiveness, rigor, and reproducibility of microvascular network quantification to better serve the current and future needs of microvascular research.
Identifiants
pubmed: 30548558
doi: 10.1111/micc.12520
pmc: PMC6561846
mid: NIHMS1001243
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12520Subventions
Organisme : NEI NIH HHS
ID : R21 EY028868
Pays : United States
Organisme : NHLBI NIH HHS
ID : U01 HL127654
Pays : United States
Organisme : NIGMS NIH HHS
ID : R01 GM090033
Pays : United States
Organisme : NIAMS NIH HHS
ID : U01 AR069393
Pays : United States
Informations de copyright
© 2018 John Wiley & Sons Ltd.
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