Learning to segment cell nuclei in phase-contrast microscopy from fluorescence images for drug discovery
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00362696" target="_blank" >RIV/68407700:21230/22:00362696 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15110/22:73618881
Result on the web
<a href="https://doi.org/10.1117/12.2607500" target="_blank" >https://doi.org/10.1117/12.2607500</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2607500" target="_blank" >10.1117/12.2607500</a>
Alternative languages
Result language
angličtina
Original language name
Learning to segment cell nuclei in phase-contrast microscopy from fluorescence images for drug discovery
Original language description
We describe a method for analyzing geometrical properties of cell nuclei from phase contrast microscopy images. This is useful in drug discovery for quantifying the effect of candidate chemical compounds, bypassing the need for fluorescence imaging. Fluorescence images are then only used for training our nuclei segmentation, avoiding the need for the time consuming expert annotations. Geometry based descriptors are calculated and aggregated and fed into a classifier to distinguish the different types of chemical treatments. The drug treatment can be distinguished from no treatment with accuracy better than 95% from fluorescence images and better than 77% from phase contrast images.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
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
Article name in the collection
Proc. SPIE 12032: Medical Imaging 2022: Image Processing
ISBN
978-1-5106-4939-2
ISSN
1605-7422
e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego
Event date
Feb 20, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000836295600086