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Simple RGC: ImageJ Plugins for Counting Retinal Ganglion Cells and Determining the Transduction Efficiency of Viral Vectors in Retinal Wholemounts Cover

Simple RGC: ImageJ Plugins for Counting Retinal Ganglion Cells and Determining the Transduction Efficiency of Viral Vectors in Retinal Wholemounts

Open Access
|Jun 2021

Abstract

‘Simple RGC’ consists of a collection of ImageJ plugins to assist researchers investigating retinal ganglion cell (RGC) injury models in addition to helping assess the effectiveness of treatments. The first plugin named ‘RGC Counter’ accurately calculates the total number of RGCs from retinal wholemount images. The second plugin named ‘RGC Transduction’ measures the co-localisation between two channels making it possible to determine the transduction efficiencies of viral vectors and transgene expression levels. The third plugin named ‘RGC Batch’ is a batch image processor to deliver fast analysis of large groups of microscope images. These ImageJ plugins make analysis of RGCs in retinal wholemounts quick, consistent, and less prone to unconscious bias by the investigator. The plugins are freely available from the ImageJ update site https://sites.imagej.net/Sonjoonho/.

DOI: https://doi.org/10.5334/jors.342 | Journal eISSN: 2049-9647
Language: English
Submitted on: Aug 14, 2020
Accepted on: May 19, 2021
Published on: Jun 9, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Tiger Cross, Rasika Navarange, Joon-Ho Son, William Burr, Arjun Singh, Kelvin Zhang, Miruna Rusu, Konstantinos Gkoutzis, Andrew Osborne, Bart Nieuwenhuis, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.