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Deshpande P, Gogia N, Chimata AV, et al. Unbiased automated quantitation of ROS signals in live retinal neurons of . Biotechniques. 2021;71(2):416-424doi: 10.2144/btn-2021-0006.
Deshpande, P., Gogia, N., Chimata, A. V., & Singh, A. (2021). Unbiased automated quantitation of ROS signals in live retinal neurons of . BioTechniques, 71(2), 416-424. https://doi.org/10.2144/btn-2021-0006
Deshpande, Prajakta, et al. "Unbiased automated quantitation of ROS signals in live retinal neurons of ." BioTechniques vol. 71,2 (2021): 416-424. doi: https://doi.org/10.2144/btn-2021-0006
Deshpande P, Gogia N, Chimata AV, Singh A. Unbiased automated quantitation of ROS signals in live retinal neurons of . Biotechniques. 2021 Aug;71(2):416-424. doi: 10.2144/btn-2021-0006. Epub 2021 Aug 05. PMID: 34350780.
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Biotechniques. 2021 Aug;71(2):416-424. doi: 10.2144/btn-2021-0006. Epub 2021 Aug 05.

Unbiased automated quantitation of ROS signals in live retinal neurons of .

BioTechniques

Prajakta Deshpande, Neha Gogia, Anuradha Venkatakrishnan Chimata, Amit Singh

Affiliations

  1. Department of Biology, University of Dayton, Dayton, OH 45469, USA.
  2. Premedical Program, University of Dayton, Dayton, OH 45469, USA.
  3. Center for Tissue Regeneration & Engineering at Dayton (TREND), University of Dayton, Dayton, OH 45469, USA.
  4. The Integrative Science & Engineering Center, University of Dayton, Dayton, OH 45469, USA.
  5. Center for Genomic Advocacy (TCGA), Indiana State University, Terre Haute, IN, USA.

PMID: 34350780 DOI: 10.2144/btn-2021-0006

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 (O

Keywords: Alzheimer's disease; Drosophila; ImageJ; automated quantitation; confocal microscopy; dihydroethidium; live cell imaging; neurodegeneration; oxidative stress; reactive oxygen species

Publication Types

Grant support