
R. (Raf) van de Plas
R. (Raf) van de Plas
Profile
Biography
Raf Van de Plas is Associate Professor at the Delft University of Technology (TU Delft) in the Netherlands, within the Delft Center for Systems and Control. He works on the mathematical analysis of spectral imaging systems (e.g. imaging mass spectrometry), signal processing and machine learning for molecular imaging modalities (e.g. microscopy), and data-driven multi-modal fusion between imaging technologies. He is furthermore appointed Adjunct Assistant Professor at the Vanderbilt School of Medicine at Vanderbilt University in Nashville, TN in the United States.
Dr. Van de Plas obtained his Ph.D. in Engineering Sciences at the KU Leuven (Belgium) on the topic of Multivariate Datamining Strategies for Imaging Mass Spectrometry in 2010. He holds a degree in Industrial Engineering (Groep T, 2002) and an Advanced Master in Artificial Intelligence (KU Leuven, 2003). Before starting at the TU Delft in 2014, he held a post-doc and later a faculty position at the Mass Spectrometry Research Center (MSRC) at Vanderbilt University in Nashville, TN (United States).
Dr. Van de Plas' research focuses on the interface between three different fields: (i) mathematical engineering and machine learning; (ii) analytical chemistry and instrumentation physics; and (iii) life sciences and medicine. His research is concentrated at the cross-section between these areas, with a focus towards deepening the understanding of in-tissue bio-molecular processes and patho-mechanisms.
Lab website
Expertise
Publications
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2023
MALDI IMS-Derived Molecular Contour Maps
Augmenting Histology Whole-Slide Images
Kavya Sharman / Nathan Heath Patterson / Lukasz G. Migas / Elizabeth K. Neumann / Jamie Allen / Katherine N. Gibson-Corley / Jeffrey M. Spraggins / Raf Van de Plas / Eric P. Skaar / Richard M. Caprioli -
2023
MALDI TIMS IMS of Disialoganglioside Isomers GD1a and GD1b in Murine Brain Tissue
Katerina V. Djambazova / Martin Dufresne / Lukasz G. Migas / Angela R.S. Kruse / Raf Van De Plas / Richard M. Caprioli / Jeffrey M. Spraggins
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2023
Rapid Multivariate Analysis Approach to Explore Differential Spatial Protein Profiles in Tissue
Kavya Sharman / Nathan Heath Patterson / Andy Weiss / Elizabeth K. Neumann / Emma R. Guiberson / Daniel J. Ryan / Danielle B. Gutierrez / Jeffrey M. Spraggins / Raf Van De Plas / Eric P. Skaar / Richard M. Caprioli
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2022
Blind Polarization Demultiplexing of Probabilistically Shaped Signals
Vinod Bajaj / Raf Van De Plas / Vahid Aref / Sander Wahls
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2022
Imaging mass spectrometry reveals complex lipid distributions across Staphylococcus aureus biofilm layers
Emilio S. Rivera / Andy Weiss / Lukasz G. Migas / Jeffrey A. Freiberg / Katerina V. Djambazova / Elizabeth K. Neumann / Raf Van de Plas / Jeffrey M. Spraggins / Eric P. Skaar / Richard M. Caprioli
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Courses 2022
Courses 2021
Ancillary activities
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2014-12-01 - 2023-12-01
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