On the design of digital control for lab-on-chip systems

Mohamed, Mostafa M.; Youssef, Anas; Ghallab, Yehya H.; Badawy, W.

doi:10.1109/iscas.2009.5117931

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“…Dimalanta et al [3] present a microfluidic system for large DNA molecule arrays in which an integrated image acquisition system is used for molecule detection. An FPGAbased system is proposed in [4] by Mohamed et al which is solely for LoC control. Jin et al [5] present a machine-vision system with real-time response for robotic motion control.…”

Section: Introductionmentioning

confidence: 99%

FPGA-based machine vision implementation for Lab-on-Chip flow detection

Sotiropoulou

Voudouris

Gentsos

et al. 2012

2012 IEEE International Symposium on Circuits and Systems

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This paper presents an FPGA-based machine vision implementation for flow detection on Lab-on-Chip (LoC) experiments. The proposed machine vision system is designed to provide real-time information to the LoC user about the state of the flows (flow coordinates and points of interest) as well as input to the LoC controller. It is uniquely designed to compensate noise in the input video originating from non ideal lighting conditions or LoC movement. This machine vision implementation achieves real time response for input videos of1Mpixel resolution and frame-rates exceeding 60fps for microfluidic flows with a maximum speed of 20mm/sec.

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Section: Introductionmentioning

confidence: 99%