Baseline correction software tools | Mass spectrometry imaging analysis
In imaging MALDI- MS, spatial information and protein expression can be created. However, data from imaging MALDI-MS spectra require considerable signal processing to generate quantitative results and to provide input to later classification algorithms. To compare MALDI-MS spectra at different spatial locations (sample-to- sample comparisons) or classify parts of the spectra, a processing step called baseline correction is essential.
A mass spectrometry imaging toolbox for statistical analysis. Cardinal is an R package that implements statistical and computational tools for analyzing mass spectrometry imaging datasets, including methods for efficient pre-processing, spatial segmentation, and classification.
Processes mass spectrometry imaging (MSI) data for information recovery and comparative analysis across tissue specimens. pyBASIS is a platform allowing reproducible and tailored processing of large scale MSI datasets of hundreds of tissue specimens. An open-source imzML data import enables the use of MSI data from different systems. The software also enables the integration of experimental laboratory data with downstream bioinformatics interpretation/analyses.
A vendor-neutral interface built on the Matlab platform designed to view and perform data analysis of Mass Spectrometry Imaging (MSI) data. A standalone version of MSiReader for which Matlab is not required is also provided. People who are unfamiliar with the Matlab language will have little difficulty navigating the user friendly interface, and users with Matlab programming experience can adapt and customize MSiReader for their own needs.
Supplies an algorithm for peak deconvolution for linear matrix-assisted laser desorption/ionization time of-flight (MALDI-ToF MS) spectra data. This approach provides a software, able to jointly performs baseline computation and peak deconvolution, which includes a two-steps process involving peak support followed by peak height debiasing. The method was implemented into a C++ program and was suited only to spectrum up to 1000 channels.
Serves for matrix-assisted laser desorption/ionization (MALDI) imaging. MITICS is composed of MITICS Image for data processing and images reconstruction and MITICS control for data acquisition. This tool is workable with all type of data whatever the instrument used for both data acquisition when necessary. It uses two different interfaces: one to load all the spectra from each run into a single database, and the second to reconstruct and display interactively the molecular images of interest.
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