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

Author

Voudouris, Liberis ; Sotiropoulou, Calliope-Louisa ; Vassiliadis, Nikolaos ; Demiris, Athanasios ; Nikolaidis, Spyridon

Author_Institution

Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece

fYear

2012

fDate

3-6 July 2012

Firstpage

1434

Lastpage

1439

Abstract

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.

Keywords

bioMEMS; biomedical equipment; computer vision; computerised instrumentation; field programmable gate arrays; flow visualisation; lab-on-a-chip; medical image processing; microfluidics; FPGA parallelism; FPGA-based machine vision flow detection implementation; device resources; high-speed FPGA-based flow detection; machine vision algorithms; megapixel resolutions; microfluidic lab-on-chip experiments; microfluidic lab-on-chip systems; real-time data collection; Field programmable gate arrays; Fluids; Machine vision; Microfluidics; Process control; Random access memory; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Barcelona

Print_ISBN

978-1-4673-2530-1

Electronic_ISBN

978-1-4673-2529-5

Type

conf

DOI

10.1109/MED.2012.6265840

Filename

6265840