Technical Program

Paper Detail

Paper:	TH-PM-SS1.6
Session:	Computer Vision for Systems Biology
Time:	Thursday, April 6, 17:14 - 17:36
Presentation:	Special Session Oral
Title:	Automated Image-Based Screening of Cell Cultures for Cell Therapy
Authors:	Estelle Glory; Institut Pasteur
	Vannary Meas-Yedid; Institut Pasteur
	Georges Stamon; Laboratoire SIP
	Christian Pinset; Celogos
	Jean-Christophe Olivo-Marin; Institut Pasteur
Abstract:	The goal of this project is to develop an automated computer vision system to acquire and analyze images of adherent cell cultures. These cultures are involved in the establishment of a cell therapy protocol using primary cells. Cultures are stained to facilitate the image segmentation based on color information. Nevertheless, the high density and the uneven dispersion of cells favor nuclei clustering which are identified by a non-parametric classification. This approach automatically fits the individual nuclei features which vary according to cultures. A split and merge post-processing is used to divide aggregates into individual nuclei. This automatic system is applied to the improvements of cell therapy protocol and to control the characteristics of cells during the clinical trial.

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