Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      Chimeric antigen receptor is an immunotherapy whereby T lymphocytes are engineered to selectively attack cancer cells. Image-based screens of CAR-T cells, combining phase contrast and fluorescence microscopy, suffer from the gradual quenching of the fluorescent signal, making the reliable monitoring of cell populations across time-lapse imagery difficult. We propose to leverage the available fluorescent markers as an experimentally-generated ground truth, without recourse to manual annotation. With some simple image processing, we are able to segment and assign cell type classes automatically. This ground truth is sufficient to train a neural object detection system from the phase contrast signal alone, potentially eliminating the need for the cumbersome fluorescent markers. This approach will underpin the development of cheap and robust microscope-based protocols to quantify CAR-T activity against tumor cells in vitro.
    • Contents Note:
      Conference Acronym: ISBI
    • Author Affiliations:
      INSERM, U900,Paris,France,F-75005
      INSERM,UMR 144,Paris,France,F-75005
    • ISBN:
      978-1-5386-9330-8
    • ISSN:
      1945-8452
    • Relation:
      2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)
    • Accession Number:
      10.1109/ISBI45749.2020.9098696
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9098696
    • Conference Acronym:
      ISBI
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Iowa City, IA, USA, USA

      Conference Start Date: 3 April 2020

      Conference End Date: 7 April 2020
    • Accession Number:
      edseee.9098696
  • Citations
    • ABNT:
      BOYD, J. et al. Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on, [s. l.], p. 886–890, 2020. DOI 10.1109/ISBI45749.2020.9098696. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9098696. Acesso em: 23 out. 2020.
    • AMA:
      Boyd J, Gouveia Z, Perez F, Walter T. Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on. April 2020:886-890. doi:10.1109/ISBI45749.2020.9098696
    • APA:
      Boyd, J., Gouveia, Z., Perez, F., & Walter, T. (2020). Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium On, 886–890. https://doi.org/10.1109/ISBI45749.2020.9098696
    • Chicago/Turabian: Author-Date:
      Boyd, Joseph, Zelia Gouveia, Franck Perez, and Thomas Walter. 2020. “Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium On, April, 886–90. doi:10.1109/ISBI45749.2020.9098696.
    • Harvard:
      Boyd, J. et al. (2020) ‘Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen’, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on, pp. 886–890. doi: 10.1109/ISBI45749.2020.9098696.
    • Harvard: Australian:
      Boyd, J, Gouveia, Z, Perez, F & Walter, T 2020, ‘Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen’, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on, pp. 886–890, viewed 23 October 2020, .
    • MLA:
      Boyd, Joseph, et al. “Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium On, Apr. 2020, pp. 886–890. EBSCOhost, doi:10.1109/ISBI45749.2020.9098696.
    • Chicago/Turabian: Humanities:
      Boyd, Joseph, Zelia Gouveia, Franck Perez, and Thomas Walter. “Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen.” 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium On, April 1, 2020, 886–90. doi:10.1109/ISBI45749.2020.9098696.
    • Vancouver/ICMJE:
      Boyd J, Gouveia Z, Perez F, Walter T. Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen. 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Biomedical Imaging (ISBI), 2020 IEEE 17th International Symposium on [Internet]. 2020 Apr 1 [cited 2020 Oct 23];886–90. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9098696