Real-time semantic segmentation and anomaly detection of functional images for cell therapy manufacturing.

Journal: Cytotherapy
Published Date: Sep 18, 2023

Abstract

BACKGROUND AIMS: Cell therapy is a promising treatment method that uses living cells to address a variety of diseases and conditions, including cardiovascular diseases, neurologic disorders and certain cancers. As interest in cell therapy grows, there is a need to shift to a more efficient, scalable and automated manufacturing process that can produce high-quality products at a lower cost.

Authors

  • Rui Qi Chen
    H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Benjamin Joffe
    Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Paloma Casteleiro Costa
    Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, USA.
  • Caroline Filan
    Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, USA.
  • Bryan Wang
    Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, USA.
  • Stephen Balakirsky
    Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, Georgia, USA.
  • Francisco Robles
    Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, USA.
  • Krishnendu Roy
    Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, Atlanta, Georgia, USA.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.

Keywords

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