Signal and image processing methods for imaging mass spectrometry data
File | Description | Size | Format | |
---|---|---|---|---|
00104098-1.pdf | 10.41 MB | Adobe PDF | View/Open |
Other Titles: | Signal- und Bildverarbeitungsmethoden für bildgebene Massenspektrometrie-Daten | Authors: | Kobarg, Jan Hendrik | Supervisor: | Maaß, Peter | 1. Expert: | Maaß, Peter | Experts: | Alexandrov, Theodore | Abstract: | Imaging mass spectrometry (IMS) has evolved as an analytical tool for many biomedical applications. This thesis focuses on algorithms for the analysis of IMS data produced by matrix assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometer. IMS provides mass spectra acquired at a grid of spatial points that can be represented as hyperspectral data or a so-called datacube. Analysis of this large and complex data requires efficient computational methods for matrix factorization and for spatial segmentation. In this thesis, state of the art processing methods are reviewed, compared and improved versions are proposed. Mathematical models for peak shapes are reviewed and evaluated. A simulation model for MALDI-TOF is studied, expanded and developed into a simulator for 2D or 3D MALDI-TOF-IMS data. The simulation approach paves way to statistical evaluation of algorithms for analysis of IMS data by providing a gold standard dataset. [...] |
Keywords: | imaging mass spectrometry; matrix assisted laser desorption/ionization; matrix factorization; dimensionality reduction; clustering; spatial smoothing; image processing | Issue Date: | 26-Sep-2014 | Type: | Dissertation | Secondary publication: | no | URN: | urn:nbn:de:gbv:46-00104098-10 | Institution: | Universität Bremen | Faculty: | Fachbereich 03: Mathematik/Informatik (FB 03) |
Appears in Collections: | Dissertationen |
Page view(s)
426
checked on Oct 13, 2024
Download(s)
152
checked on Oct 13, 2024
Google ScholarTM
Check
Items in Media are protected by copyright, with all rights reserved, unless otherwise indicated.