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@ARTICLE{Rogler:284075,
      author       = {Rogler, Teresa S and Salbaum, Katja A and Brinkop, Achim T
                      and Sonntag, Selina M and James, Rebecca and Shelton, Elijah
                      R and Thielen, Alina and Rose, Roland and Babutzka, Sabrina
                      and Klopstock, Thomas and Michalakis, Stylianos and Serwane,
                      Friedhelm},
      title        = {3{D} {Q}uantification of {V}iral {T}ransduction
                      {E}fficiency in {L}iving {H}uman {R}etinal {O}rganoids.},
      journal      = {Small Methods},
      volume       = {10},
      number       = {2},
      issn         = {2366-9608},
      address      = {Weinheim},
      publisher    = {WILEY-VCH Verlag GmbH $\&$ Co. KGaA},
      reportid     = {DZNE-2026-00083},
      pages        = {2401050},
      year         = {2025},
      abstract     = {The development of therapeutics builds on testing their
                      efficiency in vitro. To optimize gene therapies, for
                      example, fluorescent reporters expressed by treated cells
                      are typically utilized as readouts. Traditionally, their
                      global fluorescence signal has been used as an estimate of
                      transduction efficiency. However, analysis in individual
                      cells within a living 3D tissue remains a challenge. Readout
                      on a single-cell level can be realized via
                      fluorescence-based flow cytometry at the cost of tissue
                      dissociation and loss of spatial information. Complementary,
                      spatial information is accessible via immunofluorescence of
                      fixed samples. Both approaches impede time-dependent studies
                      on the delivery of the vector to the cells. Here,
                      quantitative 3D characterization of viral transduction
                      efficiencies in living retinal organoids is introduced. The
                      approach combines quantification of gene delivery efficiency
                      in space and time, leveraging human retinal organoids,
                      engineered adeno-associated virus (AAV) vectors, confocal
                      live imaging, and deep learning-based image segmentation.
                      The integration of these tools in an organoid imaging and
                      analysis pipeline allows quantitative testing of future
                      treatments and other gene delivery methods. It has the
                      potential to guide the development of therapies in
                      biomedical applications.},
      keywords     = {3D segmentation (Other) / adeno‐associated virus (Other)
                      / gene therapy (Other) / retinal organoids (Other) /
                      transduction efficiency (Other)},
      cin          = {Clinical Research (Munich)},
      ddc          = {620},
      cid          = {I:(DE-2719)1111015},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40509616},
      doi          = {10.1002/smtd.202401050},
      url          = {https://pub.dzne.de/record/284075},
}