Towards Reliable, Reproducible and Standardized MALDI Mass Spectrometry Imaging
Quality assessment, standardization and reproducibility in MALDI MSI - MALDISTAR
The MALDISTAR project aims at improving standardization and reproducibility for MALDI imaging applications. Focusing on pilot scenarios in imaging of peptides and small molecules from FFPE and fresh-frozen tissue, we are investigating and developing methods for quality assessment, data normalization and enhanced data comparability.
01 / QQ Metrics
Develop quantitative quality metrics (QQ Metrics) that allow evaluating whether a given MALDI MSI dataset should be rejected or is of sufficient quality for a given analysis task, or whether multiple datasets show sufficiently similar characteristics in order to be analyzed collectively.
MALDISTAR is kindly funded by the Klaus Tschira Foundation (grant 00.010.2019).
MALDISTAR partners with the
Junior Research Group "MALDI Imaging"
The MALDISTAR team is pleased to announce a community partnership with Dr. Melanie Föll and her Junior Research Group "MALDI Imaging" at the Institute for Surgical Pathology, University of Freiburg. With their long-term experience in reproducible research, MALDI MSI data analysis, and applications of MALDI Imaging in pathology, Melanie and her team are looking forward to contributing to the goals of the MALDISTAR project.
Peter Maass
Lena Hauberg-Lotte
Denis Abu Sammour
Carsten Hopf
Alexander Denker
Henrik Harms
Tobias Boskamp
(Bruker Daltonics)
Melanie Föll
Scientific Advisors