Hans Dalebout
Papers
2
Total Citations
59
H-Index
2
About
Hans Dalebout is a pioneer in the development of high-throughput mass spectrometry for clinical proteomics and metabolomics. His research centers on advancing analytical workflows, particularly through automated imaging mass spectrometry (MS) and robust quality control methods for large-scale peptide profiling. In his seminal 2009 work, Dalebout introduced a framework for automated imaging MS, laying the groundwork for high-throughput spatial analysis of biological tissues. His most impactful contribution came in 2010, where he implemented a novel quality control parameter based on isotopic distributions for MALDI-TOF and MALDI-FTICR serum peptide profiling. This objective metric enabled automatic sorting of thousands of spectra, dramatically improving reproducibility in clinical biomarker discovery. With over 60 combined citations for these foundational studies, Dalebout’s work has been instrumental in transitioning mass spectrometry from manual, low-throughput experiments to automated, high-performance platforms. His achievements include enabling robust, large-scale serum analysis through isotopic QC, a critical step for translating proteomic profiling into clinical diagnostics. For students and researchers, Dalebout exemplifies how methodical innovation in analytical chemistry can drive the scalability and reliability essential for modern biomedical discovery.
Research Focus
Key Achievements
Top Papers
- 1Automated imaging MS: Toward high throughput imaging mass spectrometry34 citations · 2009
- 2