A novel method for evaluating and visualizing scratch wound healing assays using level-set and image sector analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F25%3A73634062" target="_blank" >RIV/61989592:15110/25:73634062 - isvavai.cz</a>
Alternative codes found
RIV/00098892:_____/25:10159575
Result on the web
<a href="https://academic.oup.com/pnasnexus/article/4/11/pgaf355/8320431?login=true" target="_blank" >https://academic.oup.com/pnasnexus/article/4/11/pgaf355/8320431?login=true</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/pnasnexus/pgaf355" target="_blank" >10.1093/pnasnexus/pgaf355</a>
Alternative languages
Result language
angličtina
Original language name
A novel method for evaluating and visualizing scratch wound healing assays using level-set and image sector analysis
Original language description
Scratch wound healing assays are widely used to study cell migration and in vitro wound healing. This paper presents a novel method for evaluating and visualizing these assays based on a combination of the level-set method and image sector analysis. The proposed approach enables robust segmentation of the wound area even in low-contrast microscopy images and provides a spatially resolved characterization of cell migration as a function of distance from the wound edge. By linking global wound closure measurements with local migration dynamics, the method offers deeper insight into collective cell behavior and is supported by an interactive computational tool for image analysis.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30301 - Social biomedical sciences (includes family planning, sexual health, psycho-oncology, political and social effects of biomedical research)
Result continuities
Project
<a href="/en/project/NW24-10-00395" target="_blank" >NW24-10-00395: Refinement of the clinical subclassification of knee osteoarthritis using multimodal examination of joint fluid and synovial tissue samples (immunofenotyping, exosome profiles, and lipidomics)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PNAS NEXUS
ISSN
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e-ISSN
2752-6542
Volume of the periodical
4
Issue of the periodical within the volume
11
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
"pgaf355"
UT code for WoS article
001619829400001
EID of the result in the Scopus database
2-s2.0-105022656241