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Simple RGC: imageJ plugins for counting retinal ganglion cells and determining the transduction efficiency of viral vectors in retinal wholemounts
File(s)
342-5027-1-PB.pdf (6.93 MB)
Published version
OA Location
Author(s)
Cross, Tiger
Navarange, Rasika
Son, Joon-Ho
Burr, William
Singh, Arjun
Type
Journal Article
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/.
Date Issued
2021-06-09
Date Acceptance
2021-05-19
Citation
Journal of Open Research Software, 2021, 9 (15), pp.1-14
URI
URL
DOI
ISSN
2049-9647
Publisher
Ubiquity Press
Start Page
1
End Page
14
Journal / Book Title
Journal of Open Research Software
Volume
9
Issue
15
Copyright Statement
© 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0
International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original
author and source are credited. See http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://openresearchsoftware.metajnl.com/articles/10.5334/jors.342/
Subjects
q-bio.NC
q-bio.NC
Publication Status
Published
Date Publish Online
2021-06-09