Rcell is an R package originally designed to analyze the output of Cell-ID, but that can be easily used to analyze the output of other segmentation software. It provides functions to load the data in R, do a filtering (or data censoring) of spurious or dead cells and easily do custom normalizations or rescaling of variables. The main advantage of Rcell is the great variety of plots that it can easily generate. Complex plots showing different aspect of your data can be obtained with a single line of code. In the same way, complex cell images layouts can be obtained in a single line.

If you haven´t already, you can download R and study a basic tutorial.

You can download Rcell from CRAN, the Comprehensive R Archive Network, or install it from the R console by typing

> install.packages(“Rcell”)

There are four tutorials for Rcell

   Getting Started with Rcell: Quick introduction to Rcell and a overview of a typical data analysis session.

  Data manipulation with Rcell: Description or Rcell´s data manipulation functions

  Plotting with Rcell: This tutorial describes the Rcell plotting functions

  Layout cell images with Rcell: This tutorial describes how to create image montages in a user defined layout.

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