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@ARTICLE{Hansen:164838,
      author       = {Hansen, Jan N and Brückner, Matthias and Pietrowski, Marie
                      J and Jikeli, Jan F and Plescher, Monika and Beckert, Hannes
                      and Schnaars, Mareike and Fülle, Lorenz and Reitmeier,
                      Katharina and Langmann, Thomas and Förster, Irmgard and
                      Boche, Delphine and Petzold, Gabor C and Halle, Annett},
      title        = {{M}oti{Q}: an open-source toolbox to quantify the cell
                      motility and morphology of microglia.},
      journal      = {Molecular biology of the cell},
      volume       = {33},
      number       = {11},
      issn         = {1044-2030},
      address      = {Bethesda, Md.},
      publisher    = {American Society for Cell Biology},
      reportid     = {DZNE-2022-01282},
      pages        = {ar99},
      year         = {2022},
      abstract     = {Microglia are the primary resident innate immune cells of
                      the central nervous system (CNS). They possess branched,
                      motile cell processes that are important for their cellular
                      functions. To study the pathways that control microglial
                      morphology and motility under physiological and disease
                      conditions, it is necessary to quantify microglial
                      morphology and motility precisely and reliably. Several
                      image analysis approaches are available for the
                      quantification of microglial morphology and motility.
                      However, they are either not automated, not freely
                      accessible, and/or limited in the number of morphology and
                      motility parameters that can be assessed. Thus, we have
                      developed MotiQ, an open-source, freely accessible software
                      for automated quantification of microglial motility and
                      morphology. MotiQ allows quantification of a diverse set of
                      cellular motility and morphology parameters, including the
                      parameters that have become gold standard in the microglia
                      field. We demonstrate that MotiQ can be applied to in vivo,
                      ex vivo, and in vitro data from confocal, epifluorescence,
                      or two-photon microscopy and we compare its results to other
                      analysis approaches. We suggest MotiQ as a versatile and
                      customizable tool to study microglia.},
      keywords     = {Cell Movement: physiology / Microglia: metabolism},
      cin          = {AG Halle / AG Bano / AG Petzold},
      ddc          = {570},
      cid          = {I:(DE-2719)1013034 / I:(DE-2719)1013003 /
                      I:(DE-2719)1013020},
      pnm          = {352 - Disease Mechanisms (POF4-352) / 351 - Brain Function
                      (POF4-351) / 353 - Clinical and Health Care Research
                      (POF4-353)},
      pid          = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-351 /
                      G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pmc          = {pmc:PMC9582802},
      pubmed       = {pmid:35731557},
      doi          = {10.1091/mbc.E21-11-0585},
      url          = {https://pub.dzne.de/record/164838},
}