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High-speed FPGA-based flow detection for microfluidic Lab-on-Chip

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5 Author(s)
Voudouris, L. ; Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece ; Sotiropoulou, C.-L. ; Vassiliadis, N. ; Demiris, A.
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Machine vision algorithms provide significant benefits for Lab-on-Chip (LoC) systems by automating the experimental process. This paper presents an FPGA-based machine vision flow detection implementation for microfluidic Lab-on-Chip (LoC) experiments. We propose and implement a novel architecture that exploits modern FPGA parallelism capabilities and makes efficient use of device resources to achieve real-time data collection in megapixel resolutions, at rates exceeding 30000 frames per second.

Published in:

Control & Automation (MED), 2012 20th Mediterranean Conference on

Date of Conference:

3-6 July 2012