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BP: Fachverband Biologische Physik

BP 16: Posters: Cell adhesion, mechanics and migration

BP 16.6: Poster

Montag, 16. März 2015, 17:30–19:30, Poster A

Analysis of Cell Trajectories with Restricted Boltzmann Machines — •Barbara Feulner, Julian Steinwachs, Christoph Mark, Ben Fabry, and Claus Metzner — Biophysics Group, Univ. of Erlangen-Nürnberg

We report the unsupervised analysis of cell migration trajectories for an automated classification of tumor cells. We track individual cells within collagen gels and on differently coated surfaces and map the cell trajectories to binary time series of forward and backward steps in an arbitrary (x or y) direction. Sections of these binary time series are used as input data vectors for a Restricted Boltzmann Machine (RBM), a generative stochastic neural network. We demonstrate that RBMs are able to extract, or 'learn', the complex underlying probability distribution of the binarized cell trajectories. After training, the RBMs generate surrogate trajectories that reproduce the statistical properties of the training data. Moreover, the RBMs can classify new trajectory segments and determine if they conform to the same statistics as the training data. Strikingly, RBMs are more sensitive to small differences in cell migration behavior than traditional statistical methods, such as the mean squared displacement or the step width distribution. This finding suggests that RBMs may be used as a tool for assessing the potential malignancy of tumor cells from patient biopsies.