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Real-time Label-free Monitoring of Protozoa using Micro Opto-fluidic System and Image Classification
1, 2 , 2 , * 1 , * 1
1  Nanyang Technological University
2  Institute of Microelectronics, A*STAR (Agency for Science, Technology and Research)


An automated real-time system for the rapid detection of protozoa, Giardia lamblia and Cryptosporidium, in drinking water is implemented based on the micro opto-fluidic system and image classification. Processing around 15 images of protozoa per second are realized in this system.

Keywords: opto-fluidic system, real-time system, detection chip, Protozoa, image classification