MALDIVision, a comprehensive bioinformatics tool for MALDI imaging, facilitates data processing, visualization and analysis of spatial distribution of individual ions in a tissue section. The program accepts imaging mass spectrometric data in Analyze 7.5 and imzML format files. It generates images in 2-D and 3-D modes. To correlate MALDI images with histological information of the sampled tissue, MALDIVision enables users to co-register and overlay a MALDI image over an optical image.
Matrix Assisted Laser Desorption Ionization Imaging Mass Spectrometry (MALDI IMS) is a promising new technology for visualizing the spatial distribution of analytes viz., proteins, peptides, lipids, drug candidate compounds and biomarkers present in a sampled tissue section. MALDI tissue imaging enables researchers to visualize multiple molecular distributions across the surface of a sample without the need for chemical labels or antibodies. MALDI IMS has been increasingly used for candidate biomarker discovery, drug metabolite profiling, lipid analysis and proteomics. MALDI tissue imaging contributes significantly towards disease diagnosis and is now being used to address a number of clinical questions in diseases such as cancer and organ development.
To apply MALDI Imaging technology for clinical purposes, it is essential to develop a computationally powerful data processing and visualization informatics tool which can aid in successful analysis of the large data files obtained during an experimental run.