LipostarMSI is a software for mass spectrometry imaging (MSI) lipidomics that supports both untargeted and targeted data analysis, distributed as desktop application.
The workflow supported by LipostarMSI covers all the steps required for MSI data analysis: raw data processing, histological coregistration, manual drawing or importing of regions annotated by pathologists, image visualization, a variety of univariate and multivariate image and spectral analysis tools, co-localization analysis, and automated lipids, metabolites and drug metabolites annotation, including MS/MS-based identification.
- LipostarMSI_Appendix
- Tutorial_Lip_MSI_01 – Getting started with LipostarMSI
- Tutorial_Lip_MSI_02 – MSI file preview
- Tutorial_Lip_MSI_03 – First steps into LipostarMSI: from data import to ROI analysis and lipid identification
- Tutorial_Lip_MSI_04 – Multiple dataset analysis
- Tutorial_Lip_MSI_05 – Import annotations
- Tutorial_Lip_MSI_06 – The Lipostar DB manager and Lipid Builder
- Tutorial_Lip_MSI_07 – Background subtraction
- Tutorial_Lip_MSI_08 – Drug Metabolites Automatic Identification
- Tutorial_Lip_MSI_09 – Quantification
Pharma – Data Analysis – Imaging
Articles:
- Lipostar MSI: Comprehensive, Vendor-Neutral Software for Visualization, Data Analysis, and Automated Molecular Identification in Mass Spectrometry Imaging
- January 2020. Tortorella S, Tiberi P, Bowman AP, Claes BSR, Ščupáková K, Heeren RMA, Ellis SR, Cruciani G
Videos:
- Ion Mobility MSI: Açdding A New Dimension To Spatial Metabolomics
- Practical Applications for Drug Discovery 2020 Webinar. Sara Tortorella, Jens Soltwisch
- Spatial Localization And Identification Of Drug And Metabolites
- Practical Applications for Drug Discovery 2020 Webinar. Sara Tortorella, Giulia Coliva
Life Sciences – Imaging Metabolites
Articles:
- Mass spectrometry imaging of phosphatidylcholine metabolism in lungs administered with therapeutic surfactants and isotopic tracers
- January 2021. Shane R. Ellis, Emily Hall, Madhuriben Panchal, Bryn Flinders, Jens Madsen, Grielof Koster, Ron.M.A. Heeren, Howard W. Clark, Anthony D. Postle
- Comprehensive, Vendor-Neutral Software for Visualization, Data Analysis, and Automated Molecular Identification in Mass Spectrometry Imaging
- January 2020. Tortorella S, Tiberi P, Bowman AP, Claes BSR, Ščupáková K, Heeren RMA, Ellis SR, Cruciani G.
Videos:
- Comprehensive, Vendor-Neutral, High-Throughput Imaging Mass Spectrometry Data Analysis
- Practical Applications for Drug Discovery 2020 Webinar. Sara Tortorella
- Oniro: for HTS rapifleX data analysis
- Pyxis suite: for multi-purpose MSI, including ion mobility MSI
- Lipostar: for LC-MS lipidomics
- MARS: for LC-MS metabolomics
- Action: for affinity measurement
What exactly appears in the Data Analysis Matrix when I import the ROI into the ROI analysis module? [ROI analysis module]
The Data analysis table represents a matrix in which lines are the ROIs and columns are peaks defined by m/z value. The values in the table are the Log base 2 values of the peak intensity and the number of MS/MS fragments associated with the peak, separated by a “/” symbol (Tutorial 3, pag 29). Note that the peak intensity is the average peak intensity within your ROI and it also depends on the normalization you may have selected when importing your ROI (Tutorial 3, pag 28).
