AMASS: algorithm for MSI analysis by semi-supervised segmentation.

ABSTRACT: Mass Spectrometric Imaging (MSI) is a molecular imaging technique that allows the generation of 2D ion density maps for a large complement of the active molecules present in cells and sectioned tissues. Automatic segmentation of such maps according to patterns of co-expression of individual molecules can be used for discovery of novel molecular signatures (molecules that are specifically expressed in particular spatial regions). However, current segmentation techniques are biased toward the discovery of higher abundance molecules and large segments; they allow limited opportunity for user interaction, and validation is usually performed by similarity to known anatomical features. We describe here a novel method, AMASS (Algorithm for MSI Analysis by Semi-supervised Segmentation). AMASS reli

SUBMITTER: Bruand J 

PROVIDER: S-EPMC3190602 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature