Likelihood-Based Heterogeneity Inference Reveals Non-Stationary Effects in Biohybrid Cell-Cargo Transport

Fuente: arXiv
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Auteurs principaux: Albrecht, Jan, Dautzenberg, Lara S., Opper, Manfred, Beta, Carsten, Großmann, Robert
Format: Preprint
Publié: 2025
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author Albrecht, Jan
Dautzenberg, Lara S.
Opper, Manfred
Beta, Carsten
Großmann, Robert
author_facet Albrecht, Jan
Dautzenberg, Lara S.
Opper, Manfred
Beta, Carsten
Großmann, Robert
contents Variability of motility behavior in populations of microbiological agents is a ubiquitous phenomenon even in the case of genetically identical cells. Accordingly, passive objects introduced into such biological systems and driven by them will also exhibit heterogeneous motion patterns. Here, we study a biohybrid system of passive beads driven by active ameboid cells and use a likelihood approach to estimate the heterogeneity of the bead dynamics from their discretely sampled trajectories. We showcase how this approach can deal with information-scarce situations and provides natural uncertainty bounds for heterogeneity estimates. Using these advantages we particularly uncover that the heterogeneity in the system is time-dependent.
format Preprint
id arxiv_https___arxiv_org_abs_2508_12976
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Likelihood-Based Heterogeneity Inference Reveals Non-Stationary Effects in Biohybrid Cell-Cargo Transport
Albrecht, Jan
Dautzenberg, Lara S.
Opper, Manfred
Beta, Carsten
Großmann, Robert
Soft Condensed Matter
Statistical Mechanics
Biological Physics
Variability of motility behavior in populations of microbiological agents is a ubiquitous phenomenon even in the case of genetically identical cells. Accordingly, passive objects introduced into such biological systems and driven by them will also exhibit heterogeneous motion patterns. Here, we study a biohybrid system of passive beads driven by active ameboid cells and use a likelihood approach to estimate the heterogeneity of the bead dynamics from their discretely sampled trajectories. We showcase how this approach can deal with information-scarce situations and provides natural uncertainty bounds for heterogeneity estimates. Using these advantages we particularly uncover that the heterogeneity in the system is time-dependent.
title Likelihood-Based Heterogeneity Inference Reveals Non-Stationary Effects in Biohybrid Cell-Cargo Transport
topic Soft Condensed Matter
Statistical Mechanics
Biological Physics
url https://arxiv.org/abs/2508.12976