cellprofiler export to spreadsheet group

#Cellprofiler export to spreadsheet group manual#

Whole-retinal analysis was demonstrated with integrated retinal isodensity map generation. Efficiency in counting labeled RGC wholemount images is accelerated 40-fold with the automated software. The automated script accurately quantified both physiological and damaged retinas.

#Cellprofiler export to spreadsheet group manual#

The automated counts of RGCs labeled for Brn3a and RBPMS closely matched manual counts. Blinded manual RGC counts were performed by three independent observers. The automated program was initially calibrated for each antibody prior to batch analysis to ensure adequate cell capture. For feasibility of manual counting, images were sampled from predefined retinal sectors, totaling 160 images for Brn3a and 144 images for RBPMS.

Retinal wholemounts from control rat eyes, and eyes subjected to either chronic ocular hypertension or N-methyl-D-aspartate (NMDA)-induced excitotoxicity, were labeled by immunohistochemistry for two different RGC-specific markers, Brn3a and RNA-binding protein with multiple splicing (RBPMS). Here, we describe an automated software that accurately and efficiently counts immunolabeled RGCs with the ability to batch process images and perform whole-retinal analysis to permit isodensity map generation. Traditionally, this has been performed by manual or semi-automated counting of RGCs. The ability to accurately quantify immunohistochemically labeled retinal ganglion cells (RGCs) on wholemounts is an important histopathological determinant in experimental retinal research.