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Simple RGC: ImageJ plugins for counting retinal ganglion cells and determining the transduction efficiency of viral vectors in retinal wholemounts

Published version
Peer-reviewed

Type

Article

Change log

Authors

Cross, Tiger 
Navarange, Rasika 
Son, Joon-Ho 
Burr, William 
Singh, Arjun 

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 easy, 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/.

Description

Keywords

q-bio.NC, q-bio.NC

Journal Title

Journal of Open Research Software, 9(1), 2021, p.15

Conference Name

Journal ISSN

2049-9647
2049-9647

Volume Title

9

Publisher

Ubiquity Press, Ltd.
Sponsorship
National Eye Research Centre (SAC 041)
Medical Research Council (MR/R004544/1)
MRC (MR/V002694/1)
Medical Research Council (MR/R004463/1)