The Look@NanoSIMS (short LANS) Matlab module written by Lubos Polerecky (Polerecky L., Adam B., Milucka J., Musat N., Vagner T. and Kuypers M. M. M. (2012) Look@NanoSIMS - a tool for the analysis of nanoSIMS data in environmental microbiology. Environmental Microbiology 14, 1009–1023.) makes it easy to process NanoSIMS data and draw regions of interest (ROIs). The lans2r package provides a convenient interface to import ion maps and ROI data generated by LANS for processing and plotting in R/RMarkdown. Additionally, it can process NanoSIMS tuning (HMR) files.
# Install the latest release of this package from CRAN install.packages("lans2r") # Or the the development version directly from GitHub using devtools: # install.packages("devtools") devtools::install_github('KopfLab/lans2r')
Once installed, load the package with:
A concise overview demonstrating the functionality of the lans2r
package is provided in the main
vignette for the
package, which can also be accessed from within R by calling
vignette("lans2r"). Additional vignettes provide details on extended
functionality and can be accessed easily by browsing the package
vignettes from within R calling
browseVignettes("lans2r"). For details
on individual functions, please consult the package help (e.g.
library(dplyr) # use of %>% and filter library(lans2r) # the lans2r package # load two of the data sets supplied with lans2r load_LANS_maps ( analysis = c("analysis1", "analysis2"), base_dir = system.file("extdata", "nanosims_data", package = "lans2r") ) %>% # focus on the NC ions filter(variable %in% c("14N12C", "15N12C")) %>% # plot the ion maps normalized by ion counts for each ion plot_maps(normalize = TRUE, draw_ROIs = FALSE)
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