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CCS-enabled SpatialOMx®for automatic annotation of lipids in MALDI Images based on 4D-Lipidomics™data
EP38422
Poster Title: CCS-enabled SpatialOMx®for automatic annotation of lipids in MALDI Images based on 4D-Lipidomics™data
Submitted on 08 Mar 2022
Author(s): Janina Oetjen1, Sven Meyer1, Christian Marsching1, Corinna Henkel1, Annika Nyhuis1, Ansgar Korf1, Nikolas Kessler1, Wiebke Timm1, Aiko Barsch1, Jan Hendrik Kobarg1, Heiko Neuweger1, Carsten Hopf2
Affiliations: 1Bruker Daltonics GmbH & Co. KG, Bremen, Germany. 2Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Technical University, Mannheim, Germany
Poster Views: 177
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Poster Information
Abstract: The CCS-enabled SpatialOMxworkflow opens new dimensions by combining the molecular and spatial information measured by MALDI-TIMS Imaging with highly confident 4D-Omics annotations. MetaboScape®2021b and SCiLS™Lab 2021b provide the interface to match data from both ionization techniques and enable automatic and CCS-enabled annotations of MALDI Imaging data. The CCS-value is a key component of this workflow.Summary: The CCS-enabled SpatialOMxworkflow opens new dimensions by combining the molecular and spatial information measured by MALDI-TIMS Imaging with highly confident 4D-Omics annotations. Report abuse »
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