Computational Analysis of DNA Modifications in Confocal Images

Methods Mol Biol. 2021:2198:227-254. doi: 10.1007/978-1-0716-0876-0_19.

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.

Keywords: 2.5D plot; Analysis; Codistribution; Coloc2; Colocalization; Confocal; DNA modifications; Digital microscopy images; Fiji-ImageJ; Fluorescent intensity; Methylation; Plugin.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biochemical Phenomena
  • DNA / metabolism
  • DNA Methylation / immunology*
  • Fluorescence
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Microscopy, Confocal / methods*
  • Microscopy, Fluorescence / methods

Substances

  • DNA