phenoptr contains functions that make it easier to read and analyze data tables and images created by Akoya Biosciences’ inForm® software.
phenoptr is part of the Akoya Biosciences Phenoptics™ family of Quantitative Pathology Research Solutions. For more information visit the Phenoptics™ home page.
phenoptr requires the R environment for statistical computing, version 4.0.0 or higher. To install R, visit the R download page. The RStudio IDE is highly recommended as well.
phenoptrfrom GitHub. In the RStudio console, copy and paste or type these commands (press Enter after each line):
1(Yes) to install BiocInstaller.
rtreepackage dramatically speeds calculation and reduces memory requirements of spatial metrics such as nearest neighbors and count within. See the installation instructions in the package README file.
These Tutorials introduce the most important features of
phenoptr’s spatial processing capabilities—finding nearest neighbor distances, counting cells within a radius, and visualizing nearest neighbors.
For examples showing aggregation across multiple inForm fields and multiple slides, see the Tutorials in the phenoptrExamples package.
R is a powerful and popular environment for data manipulation and statistical analysis. Many learning resources are available online.
phenoptr is designed to work in harmony with packages in the tidyverse.
data_frame) is the preferred representation of tabular data.
If you’d like to learn more about the tidyverse packages, a good place to start is Garrett Grolemund and Hadley Wickham’s book, available free online at R for data science. If you are new to R, the book’s Introduction will help you get started.
See the Reference section of the documentation for details on individual functions.
To cite package
phenoptr in publications use:
Kent S Johnson (2022). phenoptr: inForm Helper Functions. R package version 0.3.2.