Journal article
RetFM-J, an ImageJ-based module for automated counting and quantifying features of nuclei in retinal whole-mounts
Experimental Eye Research, Vol.146, pp.386-392
05/2016
DOI: 10.1016/j.exer.2015.07.020
PMCID: PMC4753132
PMID: 26283021
Abstract
The present article introduces RetFM-J, a semi-automated ImageJ-based module that detects, counts, and collects quantitative data on nuclei of the inner retina from H&E-stained whole-mounted retinas. To illustrate performance, computer-derived outputs were analyzed in inbred C57BL/6J mice. Automated characterization yielded computer-derived outputs that closely matched manual counts. As a method using open-source software that is freely available, inexpensive staining reagents that are robust, and imaging equipment that is routine to most laboratories, RetFM-J could be utilized in a wide variety of experiments benefiting from high-throughput, quantitative, uniform analyses of total cellularity in the inner retina. •RetFM-J counts and quantifies features for all nuclei in the inner retina.•RetFM-J is packaged as a freely available plugin on the open ImageJ-based platform.•Protocols for dissection and H&E staining of mouse retinal whole-mounts are detailed.
Details
- Title: Subtitle
- RetFM-J, an ImageJ-based module for automated counting and quantifying features of nuclei in retinal whole-mounts
- Creators
- Adam Hedberg-Buenz - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USAMark A Christopher - Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USACarly J Lewis - Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA 52242, USAKacie J Meyer - Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA 52242, USADanielle S Rudd - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USALaura M Dutca - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USAKai Wang - Department of Biostatistics, University of Iowa, Iowa City, IA 52242, USAMona K Garvin - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USATodd E Scheetz - Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USAMichael D Abràmoff - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USAMatthew M Harper - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USAMichael G Anderson - VA Center for the Prevention and Treatment of Visual Loss, Iowa City VA Health Care System, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Experimental Eye Research, Vol.146, pp.386-392
- DOI
- 10.1016/j.exer.2015.07.020
- PMID
- 26283021
- PMCID
- PMC4753132
- NLM abbreviation
- Exp Eye Res
- ISSN
- 0014-4835
- eISSN
- 1096-0007
- Publisher
- Elsevier Ltd
- Grant note
- name: United States (U.S.) Department of Veterans Affairs Rehabilitation Research and Development Service, award: I01 RX001481; name: National Institutes of Health, NEI, award: R01EY017673, R01023187
- Language
- English
- Date published
- 05/2016
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Molecular Physiology and Biophysics; Biostatistics; Ophthalmology and Visual Sciences
- Record Identifier
- 9983806388902771
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