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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/10009
Title: An algorithm for processing the frap images of actin filament treadmilling
Authors: Lisitsa, Y.
Halavatyi, A.
Hadzic, E.
Friederich, E.
Yatskou, M.
Apanasovich, V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2011
Publisher: БГУ
Citation: Международный конгресс по информатике: информационные системы и технологии: материалы международного научного конгресса 31 окт. – 3 нояб. 2011 г. : в 2 ч. Ч. 2. – Минск: БГУ, 2011. – C. 238-242.
Abstract: Automotive focal adhesion segmentation and its tracking is a critical part of ac-tin filament treadmilling that is detected by the method of the fluorescent recovery after photobleaching(FRAP). However, the complex processes in live cells exhibit new challenging tasks before the cell image segmentation. In the developed tracking method we propose to use the correlation function to estimate the shift of cell compartments. We employ local thresholding for the fluorescence recovery intensity in order to segment the focal adhesions in the region of interest. We have applied this method for tracking the focal adhesions in HeLa cells.
Description: Секция 9. Распознавание образов, информационные системы управления
URI: http://elib.bsu.by/handle/123456789/10009
ISBN: 978-985-518-564-3
Appears in Collections:2011. Международный конгресс по информатике : информационные системы и технологии. Часть 2.

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