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.
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.
More information is available on the project website.
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.
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 mode||2020|
|Falk, Martin (et al.)||Feature Exploration in Medical Volume Data using Local Frequency Distributions||2020|
|Jönsson, Daniel (et al.)||Inviwo - A Visualization System with Usage Abstraction Levels||2020|
|Dieckmann, Mark E (et al.)||Preferential acceleration of positrons by a filamentation instability between an electron–proton beam and a pair plasma beam||2020|
|Falk, Martin (et al.)||Interactive Visualization of 3D Histopathology in Native Resolution||2019|
|Dieckmann, Mark E (et al.)||Structure of a collisionless pair jet in a magnetized electron-proton plasma: Flow-aligned magnetic field||2019|
|Kottravel, Sathish (et al.)||Visual Analysis of Charge Flow Networks for Complex Morphologies||2019|
|Hotz, Ingrid ; Falk, Martin (red.)||Proceedings of SIGRAD 2017, August 17-18, 2017 Norrköping, Sweden||2017|
|Falk, Martin (et al.)||Transfer Function Design Toolbox for Full-Color Volume Datasets||2017|
|Kozlikova, B. (et al.)||Visualization of Biomolecular Structures: State of the Art Revisited||2017|
|Falk, Martin (et al.)||Interactive GPU-based Visualization of Large Dynamic Particle Data||2016|
|Jönsson, Daniel ; Falk, Martin ; Ynnerman, Anders||Intuitive Exploration of Volumetric Data Using Dynamic Galleries||2016|
|Kauker, Daniel (et al.)||VoxLink—Combining sparse volumetric data and geometry for efficient rendering||2016|
|Kottravel, Sathish (et al.)||Coverage-Based Opacity Estimation for Interactive Depth of Field in Molecular Visualization||2015|
|Lindholm, Stefan (et al.)||Hybrid Data Visualization Based On Depth Complexity Histogram Analysis||2015|
|Sundén, Erik (et al.)||Inviwo - An Extensible, Multi-Purpose Visualization Framework||2015|
|Kozlíková, Barbora (et al.)||Visualization of Molecular Structure: The State of the Art||2015|
|Falk, Martin ; Krone, Michael ; Ertl, Thomas||Atomistic Visualization of Mesoscopic Whole-Cell Simulations Using Ray-Casted Instancing||2013|
|Falk, Martin||Visualization and mesoscopic simulation in systems biology||2013|
|Falk, Martin ; Krone, Michael ; Ertl, Thomas||Atomistic Visualization of Mesoscopic Whole-Cell Simulations||2012|
|Krone, Michael (et al.)||Interactive Exploration of Protein Cavities||2011|
|Falk, Martin (et al.)||Modeling and Visualization of Receptor Clustering on the Cellular Membrane||2011|
|Falk, Martin (et al.)||Parallelized Agent-based Simulation on CPU and Graphics Hardware for Spatial and Stochastic Models in Biology||2011|
|Falk, Martin (et al.)||3D Visualization of Concentrations from Stochastic Agent-based Signal Transduction Simulations||2010|
|Falk, Martin ; Grottel, S. ; Ertl, T.||Interactive Image-Space Volume Visualization for Dynamic Particle Simulations||2010|
|Falk, Martin (et al.)||Trajectory-Augmented Visualization of Lagrangian Coherent Structures in Unsteady Flow||2010|
|Falk, Martin (et al.)||Visualization of Signal Transduction Processes in the Crowded Environment of the Cell||2009|
|Falk, Martin ; Weiskopf, Daniel||Output-Sensitive 3D Line Integral Convolution||2008|
|Falk, Martin (et al.)||Panorama maps with non-linear ray tracing||2007|