dc.contributor.author | Kauanova, Sholpan | |
dc.contributor.author | Urazbayev, Arshat | |
dc.contributor.author | Vorobjev, Ivan | |
dc.date.accessioned | 2021-10-06T17:30:09Z | |
dc.date.available | 2021-10-06T17:30:09Z | |
dc.date.issued | 2021-03-11 | |
dc.identifier.citation | Kauanova S, Urazbayev A and Vorobjev I (2021) The Frequent Sampling of Wound Scratch Assay Reveals the “Opportunity” Window for Quantitative Evaluation of Cell Motility-Impeding Drugs. Front. Cell Dev. Biol. 9:640972. doi: 10.3389/fcell.2021.640972 | en_US |
dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/5858 | |
dc.description.abstract | Wound healing assay performed with automated microscopy is widely used in drug testing, cancer cell analysis, and similar approaches. It is easy to perform, and the results are reproducible. However, it is usually used as a semi-quantitative approach because of inefficient image segmentation in transmitted light microscopy. Recently, several algorithms for wound healing quantification were suggested, but none of them was tested on a large dataset... | en_US |
dc.language.iso | en | en_US |
dc.publisher | Front. Cell Dev. Biol. | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | wound healing | en_US |
dc.subject | high-throughput | en_US |
dc.subject | label-free microscopy | en_US |
dc.subject | live-cell imaging | en_US |
dc.subject | segmentation automation | en_US |
dc.subject | cell motility | en_US |
dc.title | THE FREQUENT SAMPLING OF WOUND SCRATCH ASSAY REVEALS THE “OPPORTUNITY” WINDOW FOR QUANTITATIVE EVALUATION OF CELL MOTILITY-IMPEDING DRUGS | en_US |
dc.type | Article | en_US |
workflow.import.source | science |
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