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Larsen, Rasmus
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2015Dictionary Based Segmentation in Volumescitations
- 2014Surface Detection using Round Cutcitations
- 2014Pattern recognition approach to quantify the atomic structure of graphenecitations
- 2014Structure Identification in High-Resolution Transmission Electron Microscopic Imagescitations
- 2014Quantification Tools for Analyzing Tomograms of Energy Materials
- 2013Automated Structure Detection in HRTEM Images: An Example with Graphene
- 2013Quantitative Analysis of Micro-Structure in Meat Emulsions from Grating-Based Multimodal X-Ray Tomography
- 2012Large scale tracking of stem cells using sparse coding and coupled graphs
- 2010Quantitative data analysis methods for 3D microstructure characterization of Solid Oxide Cells
- 2002Building and Testing a Statistical Shape Model of the Human Ear Canal
- 2002Testing for Gender Related Size and Shape Differences of the Human Ear canal using Statistical methods
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document
Large scale tracking of stem cells using sparse coding and coupled graphs
Abstract
Stem cell tracking is an inherently large scale problem. The challenge is to identify and track hundreds or thousands of cells over a time period of several weeks. This requires robust methods that can leverage the knowledge of specialists on the field. The tracking pipeline presented here consists of a dictionary learning method for segmentation of phase contrast microscopy images. Linking of the cells between two images is solved by a graph formulation of the tracking problem.