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.
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.
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
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
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
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