---
res:
  bibo_abstract:
  - A precise quantitative description of the ultrastructural characteristics underlying
    biological mechanisms is often key to their understanding. This is particularly
    true for dynamic extra- and intracellular filamentous assemblies, playing a role
    in cell motility, cell integrity, cytokinesis, tissue formation and maintenance.
    For example, genetic manipulation or modulation of actin regulatory proteins frequently
    manifests in changes of the morphology, dynamics, and ultrastructural architecture
    of actin filament-rich cell peripheral structures, such as lamellipodia or filopodia.
    However, the observed ultrastructural effects often remain subtle and require
    sufficiently large datasets for appropriate quantitative analysis. The acquisition
    of such large datasets has been enabled by recent advances in high-throughput
    cryo-electron tomography (cryo-ET) methods. This also necessitates the development
    of complementary approaches to maximize the extraction of relevant biological
    information. We have developed a computational toolbox for the semi-automatic
    quantification of segmented and vectorized filamentous networks from pre-processed
    cryo-electron tomograms, facilitating the analysis and cross-comparison of multiple
    experimental conditions. GUI-based components simplify the processing of data
    and allow users to obtain a large number of ultrastructural parameters describing
    filamentous assemblies. We demonstrate the feasibility of this workflow by analyzing
    cryo-ET data of untreated and chemically perturbed branched actin filament networks
    and that of parallel actin filament arrays. In principle, the computational toolbox
    presented here is applicable for data analysis comprising any type of filaments
    in regular (i.e. parallel) or random arrangement. We show that it can ease the
    identification of key differences between experimental groups and facilitate the
    in-depth analysis of ultrastructural data in a time-efficient manner.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Georgi A
      foaf_name: Dimchev, Georgi A
      foaf_surname: Dimchev
      foaf_workInfoHomepage: http://www.librecat.org/personId=38C393BE-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-8370-6161
  - foaf_Person:
      foaf_givenName: Behnam
      foaf_name: Amiri, Behnam
      foaf_surname: Amiri
  - foaf_Person:
      foaf_givenName: Florian
      foaf_name: Fäßler, Florian
      foaf_surname: Fäßler
      foaf_workInfoHomepage: http://www.librecat.org/personId=404F5528-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-7149-769X
  - foaf_Person:
      foaf_givenName: Martin
      foaf_name: Falcke, Martin
      foaf_surname: Falcke
  - foaf_Person:
      foaf_givenName: Florian KM
      foaf_name: Schur, Florian KM
      foaf_surname: Schur
      foaf_workInfoHomepage: http://www.librecat.org/personId=48AD8942-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-4790-8078
  bibo_doi: 10.1016/j.jsb.2021.107808
  bibo_issue: '4'
  bibo_volume: 213
  dct_date: 2021^xs_gYear
  dct_identifier:
  - UT:000720259500002
  dct_isPartOf:
  - http://id.crossref.org/issn/1047-8477
  dct_language: eng
  dct_publisher: Elsevier@
  dct_subject:
  - Structural Biology
  dct_title: Computational toolbox for ultrastructural quantitative analysis of filament
    networks in cryo-ET data@
...