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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/28092
Title: Спектральный анализ АСМ-изображений биологических клеток
Authors: Стародубцев, И. Е.
Харин, Ю. С.
Keywords: материалы конференций;спектральный анализ;АСМ-изображения;биологические клетки
Issue Date: 2017
Publisher: БГУИР
Citation: Стародубцев, И. Е. Спектральный анализ АСМ-изображений биологических клеток / И. Е. Стародубцев, Ю. С. Харин // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 246-249.
Abstract: Spectral analysis that is a widely used method for studying big data arrays was used to analyze AFM images of biological cells such as epithelial cells line A549 (cancerous cells) and fibroblasts. Each AFM image with the resolution of 256256 pixels was divided into 256 sections (scanning line) and for each section the periodogram was calculated. Using the obtained set of periodograms three dimensional map of spectral density estimations was formed and studied. Distinctive features of the three dimensional map of spectral density estimations for AFM images of the studied biological cells have been analyzed depending on scanning modes and temperature.
URI: https://libeldoc.bsuir.by/handle/123456789/28092
Appears in Collections:BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)

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