SKM 2023 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 28: Poster Session II
BP 28.56: Poster
Donnerstag, 30. März 2023, 18:00–20:00, P2/EG
Classifying single cells by their motion — •Anton Klimek1, Debasmita Mondal2, Prerna Sharma2, and Roland Netz1 — 1Freie Universität Berlin, Germany — 2Indian Institute of Science, Bangalore, India
We present a method to differentiate cells solely by their trajectories based on the generalized Langevin equation and apply it to distinguish two differently swimming types of strongly confined microalgae Chlamydomonas reinhardtii cells with an accuracy of 100 %. The model we use is suggested by the data and succeeds to describe the motion on the single cell level. By a simple fit we can extract model parameters for individual cells and subsequently perform an unbiased cluster analysis to determine the number of different cell types in the population and obtain an assignment of every cell to one of the types. Additionally, the model suggested by the data includes information on the underlying processes leading to the observed patterns of motion, which in the case of our Chlamydomonas reinhardtii data could hint towards a harmonic coupling between the cell nucleus and the flagellar propulsion apparatus. As it still remains a challenge to classify cells on the single cell level, the presented method to distinguish cells with as little information as their trajectories might have important implications in biology and medicine.