title: MSIdV: a versatile tool to visualize biological indices from mass spectrometry imaging data.
abstract: Mass spectrometry imaging (MSI) visualizes the simultaneous lateral distribution of multiple compounds on sample surface. However, it is still difficult to visualize biological indices such as energy charge index from multiple compounds because of the lack of publicly available tools. Here we present MSIdV, a visualization tool for biological indices calculated from mass spectrometry imaging data, which can effectively scan a series of mass spectra and process, calculate and visualize user-defined index measures accurately with a number of signal processing features.
  
  
  
  MSIdV is implemented in Python 2.7 and is freely available on the web at https://sourceforge.net/projects/msidv/ CONTACT: eisuke.hayakawa@gmail.comSupplementary information: Supplementary data are available at Bioinformatics online.
authors.affiliation: Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
authors.forename: Eisuke
authors.initials: E
authors.lastname: Hayakawa
authors.affiliation: Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
authors.forename: Yoshinori
authors.initials: Y
authors.lastname: Fujimura
authors.affiliation: Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
authors.forename: Daisuke
authors.initials: D
authors.lastname: Miura
mesh_terms: D007091:Image Processing, Computer-Assisted / Q000379:methods*; D013058:Mass Spectrometry; D012984:Software