Statistical analysis software tools | Mass spectrometry imaging
Two typical goals of statistical analysis of MSI are image segmentation, which partitions a tissue into regions of homogeneous spectral profiles, and image classification, which assigns locations of the tissue to pre-defined classes based on their spectral profiles.
Assists users to analyze mass spectrometry imaging data. SCILS Lab includes a lot of functionalities allowing researchers to display multiple samples in both 2D and 3D and permitting a multitude of applications in pharmaceutical, medical, and industrial research. This software is composed of several features among which comparative analysis for uncovering discriminative m/z-markers, classification model calculation based on training data and classification of new samples, or extraction of underlying trends.
Organizes and processes multimodal mass spectrometry imaging data. HDI Software allows users to interrogate complex imaging data. The software enables the integration of multimodal imaging experiments for SYNAPT G2-Si as well as DESI imaging for Xevo G2-XS Mass Spectrometers. Some of its benefits are the image clarity and integrity, as well as Sequential sample acquisition for accelerated throughput.
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.
Serves for interactive and in-depth analysis of mass spectrometry imaging data. MassImager contains three subsystems: MassImager Solution, MassImager Visualization and MassImager Intelligence. The core design is aimed at user-friendly design, high throughput, instrument-independence, interactive visualization, various multivariate statistical analysis and pattern recognition of large mass spectrometry imaging (MSI) dataset. The tools provided by the MassImager solution can be classified in two categories: visual processing and image analysis.
Allows users to process mass spectrometry imaging (MSI) data, plots single ion distributions. massPix includes functionalities permitting users to perform difference matching on deisotoped features to search for mass differences associated with measurement-introduced alternation or biological modification. Moreover, it utilizes an unsupervised approach to classify pixels of high spectral similarity using principal components analysis (PCA) and k-means clustering.
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