КФУ. Карточка публикации. Two-step Algorithm for the Automated Analysis of Fluorescent Microscopy Data in Biomedical Applications

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

Форма представления

Тезисы и материалы конференций в российских журналах и сборниках

Год публикации

2017

Язык

английский

Авторы, сотрудники КФУ

Богачев Михаил Игоревич, автор

Каюмов Айрат Рашитович, автор

Другие авторы

Markelov O. , автор

Pyko N. S., автор

Библиографическое описание на языке оригинала

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.

Аннотация

Control in Technical Systems

Ключевые слова

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

Название журнала

Control in Technical Systems

URL

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

Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку

https://repository.kpfu.ru/?p_id=174578

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Богачев Михаил Игоревич	ru_RU
dc.contributor.author	Каюмов Айрат Рашитович	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/?p_id=174578	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	Тезисы и материалы конференций в российских журналах и сборниках	ru_RU