KFU. Card publication. Two-step Algorithm for the Automated Analysis of Fluorescent Microscopy Data in Biomedical Applications

KAZAN
FEDERAL UNIVERSITY

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- 中文
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TWO-STEP ALGORITHM FOR THE AUTOMATED ANALYSIS OF FLUORESCENT MICROSCOPY DATA IN BIOMEDICAL APPLICATIONS

Form of presentation

Conference proceedings in Russian journals and collections

Year of publication

2017

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Authors, employees of KFU

Bogachev Mikhail Igorevich, author

Kayumov Ayrat Rashitovich, author

Other authors

Markelov O. , author

Pyko N. S., author

Bibliographic description in the original language

Markelov O.A. Two-step Algorithm for the Automated Analysis of Fluorescent Microscopy Data in Biomedical Applications / O.A. Markelov, M.I. Bogachev, N.S. Pyko, A.R. Kayumov // Proceedings of the 2017 International Conference ''Control in Technical Systems'', 25 – 27October, 2017, St. Petersburg, Russia.

Annotation

Control in Technical Systems

Keywords

Algorithm design and analysis, Microscopy, Fluorescence, Microorganisms, Image processing, Tools

The name of the journal

Control in Technical Systems

URL

http://ieeexplore.ieee.org/document/8109504/

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=174578&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bogachev Mikhail Igorevich	ru_RU
dc.contributor.author	Kayumov Ayrat Rashitovich	ru_RU
dc.contributor.author	Markelov O.	ru_RU
dc.contributor.author	Pyko N. S.	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Markelov O.A. Two-step Algorithm for the Automated Analysis of Fluorescent Microscopy Data in Biomedical Applications / O.A. Markelov, M.I. Bogachev, N.S. Pyko, A.R. Kayumov // Proceedings of the 2017 International Conference ''Control in Technical Systems'', 25 – 27October, 2017, St. Petersburg, Russia.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=174578&p_lang=2	ru_RU
dc.description.abstract	Control in Technical Systems	ru_RU
dc.description.abstract	Measurement automation is essential in various biomedical and biotechnological applications become increasingly important with their intensification and wide utilization. Estimation of both pro- and eukaryotic cells subpopulations in different cultures, samples and tissues, including differentiation of live and dead bacterial cells, stem cells in eukaryotic cell culture and so on are essential in multiple biomedical and biotechnological applications. Fluorescent microscopy is a widely used methodology to obtain the above estimates. Wide utilization of biotechnologies increases the importance of automatic microscopic image processing tools design aiming at both qualitative and quantitative assessment of cells sub-populations. Existing methods are mostly based either on cell detection and counting or on the statistical analysis of image areas with similar staining. However, these methods exhibit known drawbacks including their inapplicability to the communities of cells adherent to each	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Algorithm design and analysis	ru_RU
dc.subject	Microscopy	ru_RU
dc.subject	Fluorescence	ru_RU
dc.subject	Microorganisms	ru_RU
dc.subject	Image processing	ru_RU
dc.subject	Tools	ru_RU
dc.title	Two-step Algorithm for the Automated Analysis of Fluorescent Microscopy Data in Biomedical Applications	ru_RU
dc.type	Conference proceedings in Russian journals and collections	ru_RU