2006
DOI: 10.1016/j.snb.2005.12.010
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Optical detection for droplet size control in microfluidic droplet-based analysis systems

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Cited by 99 publications
(77 citation statements)
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“…Hence, real time detection of droplets is critical for accurate control. Up to now, optical detection methods are the most widely used, 14,15 e.g., using either photodiode for simple counting or high speed charge-coupled device ͑CCD͒ camera with image processing for detection of more detailed characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, real time detection of droplets is critical for accurate control. Up to now, optical detection methods are the most widely used, 14,15 e.g., using either photodiode for simple counting or high speed charge-coupled device ͑CCD͒ camera with image processing for detection of more detailed characteristics.…”
Section: Introductionmentioning
confidence: 99%
“…Our approach is based on time series extraction and analysis representing a powerful tool to provide automatic analysis in LOC for pointwise flow information. As it was demonstrated also in Nguyen et al (2006), where droplets size, frequency and shape were efficiently detected in a microfluidic two-phase system by means of optical detection of the out-coming light intensity.…”
Section: Introductionmentioning
confidence: 72%
“…While impedance based detection can be readily integrated into planar chip configurations using planar electrodes [4] integration strategies for optofluidics have not been fully developed [5]. A popular approach is to insert optical fibres into microchannels aligned with the microfluidics [6][7][8]. While this exploits the low cost and well characterised performance of commercial fibres, the insertion of the fibres is a manual process which is not suited to mass production.…”
Section: Introductionmentioning
confidence: 99%