Visualize & compare retinal cell data.

Cohn, Brian A., et al. "Retinal topography maps in R: New tools for the analysis and visualization of spatial retinal data." Journal of vision 15.9 (2015): 19-19.

@article{cohn2015retinal,
  title={Retinal topography maps in R: New tools for the analysis and visualization of spatial retinal data},
  author={Cohn, Brian A and Collin, Shaun P and Wainwright, Peter C and Schmitz, Lars},
  journal={Journal of vision},
  volume={15},
  number={9},
  pages={19--19},
  year={2015},
  publisher={The Association for Research in Vision and Ophthalmology}
}

Retinal maps can take several hours to construct by hand or with proprietary software, and have been the industry standard for over thirty five years—they appear in hundreds of publications. With our software, a researcher can produce many maps in one hour, make consistent comparisons, and generate useful statistics.

• Download the latest release
• Open R and set the working directory with setwd("~/Downloads/retina") the unzipped retina folder. Make sure the path in quotes within setwd matches your path.
• Run source("main.R"). This will run the sample map.

It may complain that you don't have the right packages. To install them run e.g. install.packages("ggplot2").

Post a github issue ticket (15 seconds)

1. Thank you to David Sterratt (Sterratt et. al. 2013) who designed and published the stitching algorithm. (GPL-2 License)
2. Color schemes were designed to be readable by viewers who may have colorblindness.

Keck Science Department Announcement

sudo R -e "shiny::runApp(host="0.0.0.0",port=80)"
Deploykey: https://github.com/bc/retina/settings/keys