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

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

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 th...

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Hauptverfasser: Voudouris, L., Sotiropoulou, C-L, Vassiliadis, N., Demiris, A., Nikolaidis, S.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Field programmable gate arrays
Fluids
Machine vision
Microfluidics
Process control
Random access memory
Streaming media
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Zusammenfassung: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.
DOI:10.1109/MED.2012.6265840