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Article
Unbiased automated quantitation of ROS signals in live retinal neurons of Drosophila using Fiji/ImageJ
BioTechniques
  • Prajakta Deshpande, University of Dayton
  • Neha Gogia, University of Dayton
  • Anuradha Venkatakrishnan Chimata, University of Dayton
  • Amit Singh, University of Dayton
Document Type
Article
Publication Date
8-5-2021
Abstract

Numerous imaging modules are utilized to study changes that occur during cellular processes. Besides qualitative (immunohistochemical) or semiquantitative (Western blot) approaches, direct quantitation method(s) for detecting and analyzing signal intensities for disease(s) biomarkers are lacking. Thus, there is a need to develop method(s) to quantitate specific signals and eliminate noise during live tissue imaging. An increase in reactive oxygen species (ROS) such as superoxide (O2•-) radicals results in oxidative damage of biomolecules, which leads to oxidative stress. This can be detected by dihydroethidium staining in live tissue(s), which does not rely on fixation and helps prevent stress on tissues. However, the signal-to-noise ratio is reduced in live tissue staining. We employ the Drosophila eye model of Alzheimer's disease as a proof of concept to quantitate ROS in live tissue by adapting an unbiased method. The method presented here has a potential application for other live tissue fluorescent images.

ISBN/ISSN
0736-6205, 1940-9818
Document Version
Published Version
Comments

This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. Permission documentation is on file.

DOI: https://doi.org/10.2144/btn-2021-0006

Publisher
FutureScience
Peer Reviewed
Yes
Keywords
  • Alzheimer's disease,
  • automated quantitation,
  • confocal microscopy,
  • dihydroethidium,
  • Drosophila,
  • ImageJ,
  • live cell imaging,
  • neurodegeneration,
  • oxidative stress,
  • reactive oxygen species
Citation Information
Prajakta Deshpande, Neha Gogia, Anuradha Venkatakrishnan Chimata and Amit Singh. "Unbiased automated quantitation of ROS signals in live retinal neurons of Drosophila using Fiji/ImageJ" BioTechniques Vol. 71 Iss. 2 (2021)
Available at: http://works.bepress.com/neha-gogia/22/