Thomas Höllt

thomas

Post doctoral researcher in the Computer Graphics and Visualization group at TU Delft
Room E6.200, Building 28
Phone: +31 15 27 81988
E-mail: T.Hollt-1@tudelft.nl
Website: http://www.thomashollt.com

Research

My main research is on the visual analysis of high dimensional data with a strong focus on the Cytosplore project. Cytosplore is a framework for visual analysis of single cell data acquired using Mass Cytometry. The data consists of high dimensional expression data for single cells taken through blood- or tissue samples.

Previously I worked on visualization of ensemble data and uncertainty, mostly for ocean forecasts, but also in other geological and geophysical applications. I developed Ovis, a framework for visual analysis of ocean forecasts.

Available Master Thesis Projects

We have open projects within the Cytosplore project including a project on classification of cellular expression data through dimensionality reduction. If you’re interested in working with me on this or other projects involving biological visualisation for your master thesis project, please contact me directly, or Dr. A. Vilanova to discuss the possibilities.

Recent Publications

Publications in 2018
CyteGuide: Visual Guidance for Hierarchical Single-Cell Analysis   vis2017_hollt_cyteguide.pdf
Thomas Höllt, Nicola Pezzotti, Vincent van Unen, Frits Koning, Boudewijn P.F. Lelieveldt, Anna Vilanova
IEEE Transactions on Visualization and Computer Graphics (Proceedings of Information Visualization 2017), Volume 24, Number 1 - jan 2018
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks   paper216.pdf
Nicola Pezzotti, Thomas Höllt, Jan van Gemert, Boudewijn P.F. Lelieveldt, Elmar Eisemann, Anna Vilanova
IEEE Transactions on Visualization and Computer Graphics (Proceedings of VAST 2017), Volume 24, Number 1 - 2018
Interactive Visual Exploration of 3D Mass Spectrometry Imaging Data Using Hierarchical Stochastic Neighbor Embedding Reveals Spatiomolecular Structures at Full Data Resolution   pdf.pdf
Walid M. Abdelmoula, Nicola Pezzotti, Thomas Höllt, J. Dijkstra, Anna Vilanova, Liam A. McDonnell, Boudewijn P.F. Lelieveldt
Journal of Proteome - feb. 2018
Mass cytometry reveals innate lymphoid cell differentiation pathways in the human fetal intestine  
Na Li, Vincent van Unen, Thomas Höllt, Allan Thompson, Jeroen van Bergen, Nicola Pezzotti, Elmar Eisemann, Anna Vilanova, Susana M. Chuva de Sousa Lopes, Boudewijn P.F. Lelieveldt, Frits Koning
Journal of Experimental Medicine, Volume 215, Number 3 - 2018
The contribution of cytomegalovirus infection to immune senescence is set by the infectious dose   fimmu-08-01953.pdf
Anke Redeker, Ester Remmerswaal, Esmé T.I. Van Der Gracht , Suzanne Welten, Thomas Höllt, Frits Koning, Janko Nikolich-Žugich, Ineke ten Berge, René van Lier, Vincent van Unen, Ramon Arens
Frontiers in Immunology, Volume 8, Number 1953 - 2018
 
Publications in 2017
Approximated and User Steerable tSNE for Progressive Visual Analytics   tvcg16_approximated_and_user_steerable_tSNE_for_progressive_visual_analytics.pdf
Nicola Pezzotti, Boudewijn P.F. Lelieveldt, Laurens van der Maaten, Thomas Höllt, Elmar Eisemann, Anna Vilanova
IEEE Transactions on Visualization and Computer Graphics, Volume 23, Number 7, page 1739--1752 - july 2017
BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptome   NAR_2017.pdf
Sjoerd M.H. Huisman, Baldur van Lew, Ahmed Mahfouz, Nicola Pezzotti, Thomas Höllt, Lieke Michielsen, Anna Vilanova, Marcel Reinders, Boudewijn P.F. Lelieveldt
Nucleic Acids Research - jan 2017
Comparative Visualization for Diffusion Tensor Imaging Group Study at Multiple Levels of Detail - Best Paper   VCBM_Zhang_CompVisDTIGroups.pdf
Changgong Zhang, Thomas Höllt, Matthan Caan, Elmar Eisemann, Anna Vilanova
Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) - 2017
Overview + Detail Visualization for Ensembles of Diffusion Tensors   EuroVis2017_FinalVersion.pdf
Changgong Zhang, Matthan Caan, Thomas Höllt, Elmar Eisemann, Anna Vilanova
Computer Graphics Forum (Proc. EuroVis 2017), Volume 36, Number 3, page 121--132 - 2017
Visual Analysis of Mass Cytometry Data by Hierarchical Stochastic Neighbour Embedding Reveals Rare Cell Types   naturecommunications17_Visual_analysis_of_mass_cytometry_data_by_hierarchical_stochastic_neighbour_embedding_reveals_rare_cell_types.pdf
Vincent van Unen, Thomas Höllt, Nicola Pezzotti, Na Li, Marcel Reinders, Elmar Eisemann, Anna Vilanova, Frits Koning, Boudewijn P.F. Lelieveldt
Nature Communications, Volume 8, Number 1740, page 1--10 - 2017