---
res:
  bibo_abstract:
  - To assess cell migration in complex spatial environments, microfabricated chips,
    such as mazes and pillar forests, are routinely used to impose spatial and mechanical
    constraints, and cell trajectories are followed within these structures by advanced
    imaging techniques. In systems mechanobiology, computational models serve as essential
    tools to uncover how physical geometry influences intracellular dynamics; however,
    decoding such complex behaviors requires advanced inference techniques. Here,
    we integrated experimental observations of dendritic cell migration in a geometrically
    constrained microenvironment into a Cellular Potts model. We demonstrated that
    these spatial constraints modulate the motility dynamics, including speed and
    directional changes. We show that classical summary statistics, such as mean squared
    displacement and turning angle distributions, can resolve key mechanistic features
    but fail to extract richer spatiotemporal patterns, limiting accurate parameter
    inference. To solve this, we applied neural posterior estimation with in-the-loop
    learning of summary features. This learned summary representation of the data
    enables robust and flexible parameter inference, providing a data-driven framework
    for model calibration and advancing quantitative analysis of cell migration in
    structured microenvironments.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jonas
      foaf_name: Arruda, Jonas
      foaf_surname: Arruda
  - foaf_Person:
      foaf_givenName: Emad
      foaf_name: Alamoudi, Emad
      foaf_surname: Alamoudi
  - foaf_Person:
      foaf_givenName: Robert
      foaf_name: Mueller, Robert
      foaf_surname: Mueller
  - foaf_Person:
      foaf_givenName: Marc
      foaf_name: Vaisband, Marc
      foaf_surname: Vaisband
  - foaf_Person:
      foaf_givenName: Ronja
      foaf_name: Molkenbur, Ronja
      foaf_surname: Molkenbur
  - foaf_Person:
      foaf_givenName: Jack
      foaf_name: Merrin, Jack
      foaf_surname: Merrin
      foaf_workInfoHomepage: http://www.librecat.org/personId=4515C308-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-5145-4609
  - foaf_Person:
      foaf_givenName: Eva
      foaf_name: Kiermaier, Eva
      foaf_surname: Kiermaier
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: Hasenauer, Jan
      foaf_surname: Hasenauer
  bibo_doi: 10.1038/s41540-026-00648-9
  bibo_volume: 12
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2056-7189
  dct_language: eng
  dct_publisher: Springer Nature@
  dct_title: Simulation-based inference of cell migration dynamics in complex spatial
    environments@
  fabio_hasPubmedId: '41611727'
...