Characterization of drug effects on cell cultures from phase-contrast microscopy images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F22%3A73615819" target="_blank" >RIV/61989592:15110/22:73615819 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/22:00360157
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0010482522008794?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0010482522008794?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.compbiomed.2022.106171" target="_blank" >10.1016/j.compbiomed.2022.106171</a>
Alternative languages
Result language
angličtina
Original language name
Characterization of drug effects on cell cultures from phase-contrast microscopy images
Original language description
In this work, we classify chemotherapeutic agents (topoisomerase inhibitors) based on their effect on U-2 OS cells. We use phase-contrast microscopy images, which are faster and easier to obtain than fluorescence images and support live cell imaging. We use a convolutional neural network (CNN) trained end-to-end directly on the input images without requiring for manual segmentations or any other auxiliary data. Our method can distinguish between tested cytotoxic drugs with an accuracy of 98%, provided that their mechanism of action differs, outperforming previous work. The results are even better when substance-specific concentrations are used. We show the benefit of sharing the extracted features over all classes (drugs). Finally, a 2D visualization of these features reveals clusters, which correspond well to known class labels, suggesting the possible use of our methodology for drug discovery application in analyzing new, unseen drugs.
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN
0010-4825
e-ISSN
1879-0534
Volume of the periodical
151
Issue of the periodical within the volume
December 2022
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
106171
UT code for WoS article
000885971100003
EID of the result in the Scopus database
2-s2.0-85140305228