Embedded Computing for Fluorescence Confocal Endomicroscopy Imaging

  • Authors:

  • Lee Sing Cheong;Feng Lin;Hock Soon Seah;Kemao Qian;Feng Zhao;Patricia S. Thong;Khee Chee Soo;Malini Olivo;Sun-Yuan Kung

  • Affiliations:

  • School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;School of Computer Engineering, Nanyang Technological University, Singapore, Singapore 639798;Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore 169610;Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore 169610;Division of Medical Sciences, National Cancer Centre Singapore, Singapore, Singapore 169610;Department of Electrical Engineering, Princeton University, Princeton, USA 08544

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2009

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Abstract

A novel clinic protocol of virtual histology using an in vivo cellular imaging and real-time processing system is being developed. Main ideas of photoactivation and miniaturized confocal image scanning are presented. Technical innovation in embedded real-time image processing, feature detection and visualization system is demonstrated.