Embedded computing for fluorescence confocal endomicroscopy imaging

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

Research output: Contribution to journalArticle

19 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)217-228
Number of pages12
JournalJournal of Signal Processing Systems
Volume55
Issue number1-3
DOIs
StatePublished - Apr 2009

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Signal Processing
  • Information Systems
  • Modeling and Simulation
  • Hardware and Architecture

Keywords

  • FPGA
  • Fluorescence confocal scanning
  • In vivo cellular imaging
  • Real-time image processing
  • Virtual histology

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  • Cite this

    Cheong, L. S., Lin, F., Seah, H. S., Qian, K., Zhao, F., Thong, P. S. P., Soo, K. C., Olivo, M., & Kung, S. Y. (2009). Embedded computing for fluorescence confocal endomicroscopy imaging. Journal of Signal Processing Systems, 55(1-3), 217-228. https://doi.org/10.1007/s11265-008-0204-8