Literature DB >> 19948111

Retinal ganglion cell population in adult albino and pigmented mice: a computerized analysis of the entire population and its spatial distribution.

M Salinas-Navarro1, M Jiménez-López, F J Valiente-Soriano, L Alarcón-Martínez, M Avilés-Trigueros, S Mayor, T Holmes, R D Lund, M P Villegas-Pérez, M Vidal-Sanz.   

Abstract

UNLABELLED: In adult Swiss albino and C57 pigmented mice, RGCs were identified with a retrogradely transported neuronal tracer applied to both optic nerves (ON) or superior colliculi (SCi). After histological processing, the retinas were prepared as whole-mounts, examined and photographed under a fluorescence microscope equipped with a motorized stage controlled by a commercial computer image analysis system: Image-Pro Plus((R)) (IPP). Retinas were imaged as a stack of 24-bit color images (140 frames per retina) using IPP with the Scope-Pro plug-in 5.0 and the images montaged to create a high-resolution composite of the retinal whole-mount when required. Single images were also processed by specific macros written in IPP that apply a sequence of filters and transformations in order to separate individual cells for automatic counting. Cell counts were later transferred to a spreadsheet for statistical analysis and used to generate a RGC density map for each retina.
RESULTS: The mean total numbers of RGCs labeled from the ON, in Swiss (49,493+/-3936; n=18) or C57 mice (42,658+/-1540; n=10) were slightly higher than the mean numbers of RGCs labeled from the SCi, in Swiss (48,733+/-3954; n=43) or C57 mice (41,192+/-2821; n=42), respectively. RGCs were distributed throughout the retina and density maps revealed a horizontal region in the superior retina near the optic disk with highest RGC densities. In conclusion, the population of mice RGCs may be counted automatically with a level of confidence comparable to manual counts. The distribution of RGCs adopts a form of regional specialization that resembles a horizontal visual streak.

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Year:  2009        PMID: 19948111     DOI: 10.1016/j.visres.2009.01.010

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  58 in total

1.  Quantitative measurement of retinal ganglion cell populations via histology-based random forest classification.

Authors:  Adam Hedberg-Buenz; Mark A Christopher; Carly J Lewis; Kimberly A Fernandes; Laura M Dutca; Kai Wang; Todd E Scheetz; Michael D Abràmoff; Richard T Libby; Mona K Garvin; Michael G Anderson
Journal:  Exp Eye Res       Date:  2015-10-22       Impact factor: 3.467

Review 2.  Neurodegeneration in glaucoma: progression and calcium-dependent intracellular mechanisms.

Authors:  S D Crish; D J Calkins
Journal:  Neuroscience       Date:  2010-12-25       Impact factor: 3.590

Review 3.  Assessing retinal ganglion cell damage.

Authors:  C A Smith; J R Vianna; B C Chauhan
Journal:  Eye (Lond)       Date:  2017-01-13       Impact factor: 3.775

Review 4.  Advances in retinal ganglion cell imaging.

Authors:  S I Balendra; E M Normando; P A Bloom; M F Cordeiro
Journal:  Eye (Lond)       Date:  2015-08-21       Impact factor: 3.775

5.  Visual space is represented by nonmatching topographies of distinct mouse retinal ganglion cell types.

Authors:  Adam Bleckert; Gregory W Schwartz; Maxwell H Turner; Fred Rieke; Rachel O L Wong
Journal:  Curr Biol       Date:  2014-01-16       Impact factor: 10.834

Review 6.  Inducible rodent models of glaucoma.

Authors:  Iok-Hou Pang; Abbot F Clark
Journal:  Prog Retin Eye Res       Date:  2019-09-23       Impact factor: 21.198

Review 7.  IMI - Report on Experimental Models of Emmetropization and Myopia.

Authors:  David Troilo; Earl L Smith; Debora L Nickla; Regan Ashby; Andrei V Tkatchenko; Lisa A Ostrin; Timothy J Gawne; Machelle T Pardue; Jody A Summers; Chea-Su Kee; Falk Schroedl; Siegfried Wahl; Lyndon Jones
Journal:  Invest Ophthalmol Vis Sci       Date:  2019-02-28       Impact factor: 4.799

Review 8.  Evaluating retinal ganglion cell loss and dysfunction.

Authors:  Ben Mead; Stanislav Tomarev
Journal:  Exp Eye Res       Date:  2016-08-12       Impact factor: 3.467

9.  RetFM-J, an ImageJ-based module for automated counting and quantifying features of nuclei in retinal whole-mounts.

Authors:  Adam Hedberg-Buenz; Mark A Christopher; Carly J Lewis; Kacie J Meyer; Danielle S Rudd; Laura M Dutca; Kai Wang; Mona K Garvin; Todd E Scheetz; Michael D Abràmoff; Matthew M Harper; Michael G Anderson
Journal:  Exp Eye Res       Date:  2015-08-14       Impact factor: 3.467

10.  Short and long term axotomy-induced ERG changes in albino and pigmented rats.

Authors:  Luis Alarcón-Martínez; Pedro de la Villa; Marcelino Avilés-Trigueros; Román Blanco; Maria P Villegas-Pérez; Manuel Vidal-Sanz
Journal:  Mol Vis       Date:  2009-11-17       Impact factor: 2.367

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