Image registration software tools | Mass spectrometry imaging analysis
Mass spectrometry imaging (MSI) provides high quality data for understanding and visualize the spatial distribution of chemical compounds in biological samples. However, many imaging modalities (e.g., fluorescence microscopy, whole slide imaging) brings alternative crucial information. In order to compile those data, image registration comes as the image processing solution. Image registration is also useful to compare different conditions between tissue samples.
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.
Performs 2D image registration based on elastic deformations represented by B-splines. bUnwarpJ is an ImageJ plugin that works on registration of two images, A and B: Image A is elastically deformed to look as similar as possible to image B, and, at the same time, the "inverse" transformation (from B to A) is also calculated. As a result, two images are given: the deformed versions of A and B images.
Provides a common visualization and storage platform, which can be used for visualization of data from any source, provided that an import filter exists for this format. This platform can be extended by various software packages, individually designed for analysis of specific data sets. Visualization is based on multi-planar reconstruction allowing extraction of arbitrary slices from a 3D-volume.
Revolutionizes the analysis of Mass Spectrometry Imaging data with a limitless software which helps to visualize, normalize, validate and interpret large MSI data. Multimaging integrates the latest statistical tools for a better biomarker discovery. It visualizes 50 different datasets (>1Terabytes) at a same time with the same intensity scale for a robust data interpretation and quantifies biomarkers and xenobiotics (drug and metabolites) to get accurate information.
A comprehensive bioinformatics tool for MALDI tissue imaging, facilitates data processing, visualization and analysis of spatial distribution of individual ions across the sampled locations on a tissue section. The program accepts imaging mass spectrometric data in standard file formats. MALDIVision generates an ion intensity map for any m/z in the analysis range, enabling simultaneous imaging of many compounds. Users can view images in 2-D and in 3-D.
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.
Assists users with multiple imaging mass spectrometry (IMS) analyses. RegCombIMS was developed to co-register, combine and create single IMS datasets acquired from serial sections of tissue. This package allows for automation of the process and identification of species that are not detected together but spatially colocalized after registration. This method also permits users to correlate ions from IMS acquisitions that require incompatible sample preparations.