Our research lies at the interface between (i) mathematical engineering and machine learning; (ii) physical instrumentation and analytical chemistry; and (iii) application domains such as life sciences and medicine. We explore new ways of acquiring, processing, and mining the massive (multi-terabyte) datasets that spectral imaging modalities such as imaging mass spectrometry and other molecular imaging modalities can produce.
Our research commonly involves:
- Dimensionality Reduction & Unsupervised Machine Learning — (incl. Transforms , Matrix/Tensor Factorization, and Mathematical Optimization)
- Supervised Machine Learning & Explainable AI — (incl. Automated Recognition and Analysis, Classification, and Regression)
- Multi-modal Integration — (incl. Multi-source Modeling & Image Fusion)
- Signal Processing & Registration
- Contributions in Mass Spectrometry
- Contributions in the Life Sciences — Cancer
- Contributions in the Life Sciences — Bacterial Infection & Host-Pathogen Interactions
- Contributions in the Life Sciences — Endometriosis
- Contributions in the Life Sciences — Tissue Atlases & Other
Below you can find a few examples of our output in these areas.
Dimensionality Reduction & Unsupervised Machine Learning
![Example of Unsupervised Machine Learning: Verbeeck et al., Mass Spectrometry Reviews 39, 3 (2020): pp. 245–291](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/unsupml_cover100dpi.png)
Supervised Machine Learning & Explainable Artificial Intelligence
![Example of Interpretable Machine Learning: Tideman et al., Analytica Chimica Acta 1177 (2021): p.338522.](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/shap_cover100dpi.png)
Multi-modal Analysis, Multi-source Integration, and Image Fusion
![Example of Data-Driven Image Fusion: Van de Plas et al., Nature Methods 12, 4 (2015): pp. 366–372.](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/fusion_cover100dpi.png)
Signal Processing & Registration
![Spectral Imaging Modalities](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/tensor_cover100dpi.png)
Contributions in Mass Spectrometry
![Example of Ion Mobility Imaging Mass Spectrometry: Spraggins et al., Analytical Chemistry 91, 22 (2019): pp. 14552–60](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/imims_cover100dpi.png)
Contributions in the Life Sciences — Cancer
Contributions in the Life Sciences — Bacterial Infection & Host-Pathogen Interactions
Contributions in the Life Sciences — Endometriosis
Contributions in the Life Sciences — Tissue Atlases & Other
![Building a Human Tissue Atlas: HuBMAP Consortium, Nature 574, 7777 (2019): pp.187-192.](http://vandeplaslab.tudelft.nl/wp-content/uploads/2022/02/hubmap_cover100dpi.png)