Martin Falk

Senior Lecturer

+46 11 36 3311
Kopparhammaren 2, Entrance 10B, Room 2071, Campus Norrköping

Martin Falk is a senior lecturer in the Scientific Visualization Group at Linköping University. He received his Ph.D. degree (Dr. rer. nat.) from the University of Stuttgart in 2013. His research interests include molecular visualization, large-scale volume rendering, visualizations in the context of cryoEM, pathology, and systems biology as well as visualizing uncertainty, large spatio-temporal data, and glyph-based rendering.

Previous and Ongoing Projects

Ongoing Projects

Residue Plot
A heatmap depicting various quality metrics of a molecular structure, which was obtained using cryo-EM.

Completed Projects

3D Digital Pathology Visualization

The aim of the project is to develop efficient multi-scale visualizations of 3D stacks of collections of large-scale slide images used in pathology. These slide image, obtained by scanning of such tissue samples, can exceed resolutions of 100,000 by 100,000 pixels at an optical magnification of 40x. A stack of images can thus easily result in more than 100 GiB per tissue sample.

Residue Plot
Close-up of Barrett's esophagus
Close-up and cut-away of Barrett's esophagus
A heatmap depicting various quality metrics of a molecular structure, which was obtained using cryo-EM.

Visualization of charge transports in organic solar cells

In this project, trajectory ensembles of excitons moving inside organic solar cells are investigated. We use the charge trajectories to extract the backbone of the morphology and to identify, e.g., bottlenecks of the charge transport.

Atomistic Visualization of Mesoscopic Whole-Cell Simulations

With modern GPU ray casting approaches it is only possible to render several millions of atoms at interactive frame rates unless advanced acceleration methods are employed. But even simplified cell models of whole-cell simulations consist of at least several billion atoms. However, many instances of only a few different proteins occur in the intracellular environment, which is beneficial in order to fit the data into the graphics memory. One model is stored for each protein species and rendered once per instance. The proposed method exploits recent algorithmic advances for particle rendering and the repetitive nature of intracellular proteins to visualize dynamic results from mesoscopic simulations of cellular transport processes at interactive frame rates.

Published at the EG Workshop on Visual Computing for Biology and Medicine (VCBM, 2012).


Dieckmann, Mark E (et al.) Collisionless Rayleigh–Taylor-like instability of the boundary between a hot pair plasma and an electron–proton plasma: The undular mode2020
Falk, Martin (et al.) Feature Exploration in Medical Volume Data using Local Frequency Distributions2020
Jönsson, Daniel (et al.) Inviwo - A Visualization System with Usage Abstraction Levels2020
Dieckmann, Mark E (et al.) Preferential acceleration of positrons by a filamentation instability between an electron–proton beam and a pair plasma beam2020
Falk, Martin (et al.) Interactive Visualization of 3D Histopathology in Native Resolution2019
Dieckmann, Mark E (et al.) Structure of a collisionless pair jet in a magnetized electron-proton plasma: Flow-aligned magnetic field2019
Kottravel, Sathish (et al.) Visual Analysis of Charge Flow Networks for Complex Morphologies2019
Hotz, Ingrid ; Falk, Martin (red.) Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden2017
Falk, Martin (et al.) Transfer Function Design Toolbox for Full-Color Volume Datasets2017
Kozlikova, B. (et al.) Visualization of Biomolecular Structures: State of the Art Revisited2017
Falk, Martin (et al.) Interactive GPU-based Visualization of Large Dynamic Particle Data2016
Jönsson, Daniel ; Falk, Martin ; Ynnerman, Anders Intuitive Exploration of Volumetric Data Using Dynamic Galleries2016
Kauker, Daniel (et al.) VoxLink—Combining sparse volumetric data and geometry for efficient rendering2016
Kottravel, Sathish (et al.) Coverage-Based Opacity Estimation for Interactive Depth of Field in Molecular Visualization2015
Lindholm, Stefan (et al.) Hybrid Data Visualization Based On Depth Complexity Histogram Analysis2015
Sundén, Erik (et al.) Inviwo - An Extensible, Multi-Purpose Visualization Framework2015
Kozlíková, Barbora (et al.) Visualization of Molecular Structure: The State of the Art2015
Falk, Martin ; Krone, Michael ; Ertl, Thomas Atomistic Visualization of Mesoscopic Whole-Cell Simulations Using Ray-Casted Instancing2013
Falk, Martin Visualization and mesoscopic simulation in systems biology2013
Falk, Martin ; Krone, Michael ; Ertl, Thomas Atomistic Visualization of Mesoscopic Whole-Cell Simulations2012
Krone, Michael (et al.) Interactive Exploration of Protein Cavities2011
Falk, Martin (et al.) Modeling and Visualization of Receptor Clustering on the Cellular Membrane2011
Falk, Martin (et al.) Parallelized Agent-based Simulation on CPU and Graphics Hardware for Spatial and Stochastic Models in Biology2011
Falk, Martin (et al.) 3D Visualization of Concentrations from Stochastic Agent-based Signal Transduction Simulations2010
Falk, Martin ; Grottel, S. ; Ertl, T. Interactive Image-Space Volume Visualization for Dynamic Particle Simulations2010
Falk, Martin (et al.) Trajectory-Augmented Visualization of Lagrangian Coherent Structures in Unsteady Flow2010
Falk, Martin (et al.) Visualization of Signal Transduction Processes in the Crowded Environment of the Cell2009
Falk, Martin ; Weiskopf, Daniel Output-Sensitive 3D Line Integral Convolution2008
Falk, Martin (et al.) Panorama maps with non-linear ray tracing2007