SCiLS MALDI Imaging Analysis Workstation

Features

• Instant visualization of ion images spectra
• Multiple annotations for characterizing regions in clinical and preclinical studies
• Process data sets of virtually unlimited size
• Comparative analysis for uncovering discriminative m/z-markers
• Co-localization analysis for discovering of correlated m/z-values
• Spatial segmentation for automatic annotation of prominent features
• Extraction of underlying trends
• Mixture decomposition
• Classification model calculation based on training data and classification of new samples

Applications

• Statistical analysis and visualization of mass spectrometry imaging data
• Compositions and analysis of data sets of virtually unlimited size
• Construction, visualization and analysis of three-dimensional models

Contacts

• Ye He, Ph.D.
  Director, Live Imaging and Bioenergetics Facility
  Co-Director, MALDI-TOF MS Imaging Facility
  Research Associate Professor, Neuroscience Initiative
  [email protected]
• Rinat Abzalimov, Ph.D.
  Director, Mass Spectrometry Facility
  Co-Director, MALDI-TOF MS Imaging Facility
  Research Associate Professor, Structural Biology Initiative
  [email protected]