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Embedded Computing for Fluorescence Confocal Endomicroscopy Imaging

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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.

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Acknowledgement

This research project is sponsored by a grant from A-Star/BMRC Singapore Bioimaging Consortium (SBIC RP C-010/2006).

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Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore, 639798, Singapore

    Lee Sing Cheong, Feng Lin, Hock Soon Seah, Kemao Qian & Feng Zhao

  2. Division of Medical Sciences, National Cancer Centre Singapore, Singapore, 169610, Singapore

    Patricia S. P. Thong, Khee Chee Soo & Malini Olivo

  3. Department of Electrical Engineering, Princeton University, Princeton, NJ, 08544, USA

    Sun-Yuan Kung

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  1. Lee Sing Cheong
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  2. Feng Lin
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  3. Hock Soon Seah
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  4. Kemao Qian
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  5. Feng Zhao
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  6. Patricia S. P. Thong
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  7. Khee Chee Soo
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  8. Malini Olivo
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  9. Sun-Yuan Kung
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Correspondence to Lee Sing Cheong.

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Cheong, L.S., Lin, F., Seah, H.S. et al. Embedded Computing for Fluorescence Confocal Endomicroscopy Imaging. J Sign Process Syst Sign Image Video Technol 55, 217–228 (2009). https://doi.org/10.1007/s11265-008-0204-8

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  • DOI: https://doi.org/10.1007/s11265-008-0204-8

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