---
res:
  bibo_abstract:
  - Quantifying cell morphology is central to understanding cellular regulation, fate,
    and heterogeneity, yet conventional image-based analyses often struggle with diverse
    or irregular shapes. We present a computational framework that uses topological
    data analysis to characterise and compare single-cell morphologies from fluorescence
    microscopy. Each cell is represented by its contour together with the position
    of its nucleus, from which we construct a filtration based on a radial distance
    function and derive a persistence diagram encoding the shape’s topological evolution.
    The similarity between two cells is quantified using the 2-Wasserstein distance
    between their diagrams, yielding a shape distance we call the PH distance. We
    apply this method to two representative experimental systems—primary human mesenchymal
    stem cells (hMSCs) and HeLa cells—and show that PH distances enable the detection
    of outliers in those systems, the identification of sub-populations, and the quantification
    of shape heterogeneity. We benchmark PH against three established contour-based
    distances (aspect ratio, Fourier descriptors, and elastic shape analysis) and
    show that PH offers better separation between cell types and greater robustness
    when clustering heterogeneous populations. Together, these results demonstrate
    that persistent-homology-based signatures provide a principled and sensitive approach
    for analysing cell morphology in settings where traditional geometric or image-based
    descriptors are insufficient.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Yossi
      foaf_name: Bleile, Yossi
      foaf_surname: Bleile
      foaf_workInfoHomepage: http://www.librecat.org/personId=920a7385-7995-11ef-9bfd-8c434cd8f3c2
    orcid: 0000-0002-4861-9174
  - foaf_Person:
      foaf_givenName: Pooja
      foaf_name: Yadav, Pooja
      foaf_surname: Yadav
  - foaf_Person:
      foaf_givenName: Patrice
      foaf_name: Koehl, Patrice
      foaf_surname: Koehl
  - foaf_Person:
      foaf_givenName: Florian
      foaf_name: Rehfeldt, Florian
      foaf_surname: Rehfeldt
  bibo_doi: 10.1371/journal.pcbi.1013890
  bibo_volume: 22
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1553-7358
  dct_language: eng
  dct_publisher: Public Library of Science@
  dct_title: 'Persistence diagrams as morphological signatures of cells: A method
    to measure and compare cells within a population@'
  fabio_hasPubmedId: '41604421'
...