Automatic image-based method for quantitative analysis of photosynthetic cell cultures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120754" target="_blank" >RIV/00216305:26220/16:PU120754 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-32034-2_34" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32034-2_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-32034-2_34" target="_blank" >10.1007/978-3-319-32034-2_34</a>
Alternative languages
Result language
angličtina
Original language name
Automatic image-based method for quantitative analysis of photosynthetic cell cultures
Original language description
The paper deals with an automatic quantitative analysis of photosynthetic cell cultures. It uses images captured by a confocal fluorescent microscope for automatic determination the number of cells in sample containing complex 3D structure of cell clusters. Experiments were performed on the confocal microscope.
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
10610 - Biophysics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Hybrid Artificial Intelligent Systems: 11th International Conference Proceedings
ISBN
978-3-319-32034-2
ISSN
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e-ISSN
—
Number of pages
11
Pages from-to
402-413
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Seville
Event date
Apr 18, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389499600034