LipostarMSI

     

LipostarMSI

LipostarMSI is a comprehensive, vendor-neutral software for mass spectrometry imaging (MSI) that supports both untargeted and targeted data analysis.

The workflow supported by LipostarMSI covers all the steps required for MSI data analysis: raw data processing, histological co-registration, 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/metabolite annotation, including MS/MS-based identification.

A revolution in MSI for pharmaceutical and medical applications

Features

Users about LipostarMSI

“The attention that Molecular Horizon have paid to the needs of the MSI community and their personal interactions with the user-base have led to the development of a highly versatile software in LipostarMSI – much needed in the MSI field.”
– Prof. Ruth Andrew
Chair of Pharmaceutical Endocrinology
University/BHF Centre for Cardiovascular Science
Queen’s Medical Research Institute
University of Edinburgh

“Fast, comprehensive and user-friendly software that saves you time and exasperations!”
– Klára Ščupáková, MSc
PhD student
M4I Institute, Division of Imaging Mass Spectrometry
University of Maastricht

“I am very happy I found LipostarMSI for the analysis of our untargeted imaging mass spectrometry lipidomics datasets. Molecular Horizon is determined to offer a software that contains everything scientists need to completely analyse their datasets. You can visualise multiple datasets at the same time, use unsupervised clustering algorithms based on the image data to look for differences between tissue areas, further identify m/z values of interest using analyses based on user set regions of interest and even identify lipids (or drug metabolites) all in the same software. If you need a special feature that is not part of the software yet, Molecular Horizon listens to your wishes and often implements a useful tool that fits your needs very quickly. I would highly recommend LipostarMSI for the analysis of imaging mass spectrometry datasets.”
– Luise A. Seeker
Postdoctoral Research Fellow
MRC Scottish Centre for Regenerative Medicine
Edinburgh BioQuarter

LipostarMSI

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