Image signal quantification software tools | Mass spectrometry imaging analysis
Imaging by mass spectrometry has been generally regarded as a qualitative method with some recent demonstrations of quantitative analyses for small molecules. Fundamentally, the signal provided by MSI is a direct measurement of analyte relative abundance and, therefore, with the use of proper matrices and internal standards it is possible to obtain quantitative data.
Provides quantitation of target compounds (taking into account biological matrix effect) following Mass spectrometry imaging experiments. Quantinetix is a Quantitative Imaging Mass Spectrometry Software which offers normalization to get “real images” and provides concentration of target compounds. It is specially designed to ADMET study, PK/PD study, Toxicity study, In support of Whole Body Autoradiography and Proteomics and Lipidomics studies.
Provides an efficient way to manage mass spectrometry imaging (MSI) data together with a graphical user interface (GUI) integrated in R environment. rMSI is designed for simple and effective data exploration and visualization. This tool is designed to be integrated in the R environment through a library of functions that can be used to share MS data across others R packages. It allows a MSI data exploration of high-resolution images in standard computers.
Enables the visualization, analysis of large data sets. msIQuant allows users to display and study data sets without data reduction. It has a quantitation function that generates calibration standard curves from series of standards that can be used to determine the concentrations of specific analyses. In summary, it supplies solution for accessing and evaluating data sets, quantifying drugs and endogenous compounds in tissue areas of interest, and for processing mass spectra and images.
A collection of R scripts for the efficient evaluation of .imzML archives in a four-step strategy: (1) calculation of the density distribution of mass-to-charge ratio (m/z) signals in the .imzML file and assembling of a pseudo-master spectrum with peak list, (2) automated generation of mass images for a defined scan range and subsequent visual inspection, (3) visualisation of individual ion distributions and export of relevant .mzML spectra and (4) creation of overlay graphics of ion images and photographies. The use of a Hue-Chroma-Luminance (HCL) colour model in MSI graphics takes into account the human perception for colours and supports the correct evaluation of signal intensities. Further, readers with colour blindness are supported. Contour maps promote the visual recognition of patterns in MSI data, which is particularly useful for noisy data sets.
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.
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