| DC Field | Value | Language |
|---|
| dc.contributor.author | Стародубцев, И. Е. | - |
| dc.contributor.author | Харин, Ю. С. | - |
| dc.date.accessioned | 2017-11-27T13:19:15Z | - |
| dc.date.available | 2017-11-27T13:19:15Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.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. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/28092 | - |
| dc.description.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 256256 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. | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | спектральный анализ | ru_RU |
| dc.subject | АСМ-изображения | ru_RU |
| dc.subject | биологические клетки | ru_RU |
| dc.title | Спектральный анализ АСМ-изображений биологических клеток | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
|
