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Improvement of the multiphoton fluorescence microscopy images quality using digital filtration Y. V. Kistenev, V. V. Nikolaev, A. K. Drozdova [et al.]

Contributor(s): Nikolaev, Viktor V | Drozdova, Anna K | Ilyasova, E. E | Sandykova, Ekaterina A | Kistenev, Yury VMaterial type: ArticleArticleContent type: Текст Media type: электронный Subject(s): генерация второй гармоники | автофлуоресценция | анализ данных | многофотонная флуоресцентная микроскопия | цифровая фильтрация | повышение качества изображенийGenre/Form: статьи в журналах Online resources: Click here to access online In: Proceedings of SPIE Vol. 10614 : XIII International conference on atomic and molecular pulsed lasers, September 10-15, 2017, Tomsk, Russia. P. 106141Q-1-106141Q-6Abstract: In our study we used rank-order filter, the emissions filter on the base of the criteria of Pearson, Gaussian filter and median filterfor improving the is fluorescence lifetime imaging microscopy (FLIM) data. The data obtained with the FLIM technology are the distribution with a pronounced peak, while during measurement the peak value is measured with an error. According to the analysisthe Gaussian filter is more useful to improve quality of FLIM data.Spatial filtering allows to reduce the noise component, obtained in the course of measurements, including reduction the influence of the individual bursts. Filtering in time scale allows to determine a peak value of intensity more accurately.This research was carried out using the equipment of Tomsk Regional Common Use Center of Tomsk State University.
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In our study we used rank-order filter, the emissions filter on the base of the criteria of Pearson, Gaussian filter and median filterfor improving the is fluorescence lifetime imaging microscopy (FLIM) data. The data obtained with the FLIM technology are the distribution with a pronounced peak, while during measurement the peak value is measured with an error. According to the analysisthe Gaussian filter is more useful to improve quality of FLIM data.Spatial filtering allows to reduce the noise component, obtained in the course of measurements, including reduction the influence of the individual bursts. Filtering in time scale allows to determine a peak value of intensity more accurately.This research was carried out using the equipment of Tomsk Regional Common Use Center of Tomsk State University.

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