ArticleBiophysical journal2024
Data-driven classification of individual cells by their non-Markovian motion.
Article in Biophysical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Wound Geometry Determines Whether Aligned-Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis.Advanced healthcare materials · 2026Article
- Hierarchical friction memory leads to subdiffusive configurational dynamics of fast-folding proteins.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Subdiffusion from competition between multi-exponential friction memory and energy barriers.The European physical journal. E, Soft matter · 2025Article
- Cell migration: Beyond Brownian motion.Biophysical journal · 2024Article
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5 authors.
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Abstract
We present a method to differentiate organisms solely by their motion based on the generalized Langevin equation (GLE) and use it to distinguish two different swimming modes of strongly confined unicellular microalgae Chlamydomonas reinhardtii. The GLE is a general model for active or passive motion of organisms and particles that can be derived from a time-dependent general many-body Hamiltonian and in particular includes non-Markovian effects (i.e., the trajectory memory of its past). We extract all GLE parameters from individual cell trajectories and perform an unbiased cluster analysis to group them into different classes. For the specific cell population employed in the experiments, the GLE-based assignment into the two different swimming modes works perfectly, as checked by control experiments. The classification and sorting of single cells and organisms is important in different areas; our method, which is based on motion trajectories, offers wide-ranging applications in biology and medicine.
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Registered trials
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