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Computational Analysis of DNA Modifications in Confocal Images.
Rajani, Seema; Gell, Christopher; Abakir, Abdulkadir; Markus, Robert.
Afiliação
  • Rajani S; School of Life Sciences Imaging, University of Nottingham, Nottingham, UK.
  • Gell C; Digital Research Team, University of Nottingham, Nottingham, UK.
  • Abakir A; Division of Cancer and Stem Cells, School of Medicine, Biodiscovery Institute, University of Nottingham, Nottingham, UK.
  • Markus R; School of Life Sciences Imaging, University of Nottingham, Nottingham, UK. robert.markus@nottingham.ac.uk.
Methods Mol Biol ; 2198: 227-254, 2021.
Article em En | MEDLINE | ID: mdl-32822036
ABSTRACT
Computational analysis of digital images provides a robust and unbiased way to compare and investigate the amount (pixel intensity) and spatial distribution of DNA modifications. The DNA modifications in the cells are visualized by fluorescence labeling and the images are captured by confocal microscopy. The key advantage of the confocal over conventional microscope is that it images only a thin optical section around the focal plane of the microscope therefore it can precisely record signals only from the focal plane inside the nucleus. In this chapter, we will describe in detail several analysis methods to visualize and quantify the DNA modification signals including how to investigate codistribution of such signals when using dual labeling.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Microscopia Confocal / Metilação de DNA Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Microscopia Confocal / Metilação de DNA Limite: Animals / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article