2012
DOI: 10.1039/c2lc21091f
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Optical classification of algae species with a glass lab-on-a-chip

Abstract: The identification of submillimetre phytoplankton is important for monitoring environmental and climate changes, as well as evaluating water for health reasons. Current standard methods for phytoplankton species identification require sample collection and ex situ analysis, an expensive procedure which prevents the rapid identification of phytoplankton outbreaks. To address this, we use a glass-based microchip with a microchannel and waveguide included on a monolithic substrate, and demonstrate its use for ide… Show more

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Cited by 78 publications
(55 citation statements)
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“…[21][22][23] The surface smoothness of the microchannels was improved by smaller-pitch line-to-line scanning and optimized postthermal annealing. To enhance their functionalities, some 1D to 3D glass microcomponents, including waveguides, [24][25][26] microrotators, 27 micromirrors, 23 and microlenses, 28 have been integrated into the channels. However, the FLAE method suffers from low fabrication precision, on the order of 10 mm, determined by the wet etching process.…”
Section: Introductionmentioning
confidence: 99%
“…[21][22][23] The surface smoothness of the microchannels was improved by smaller-pitch line-to-line scanning and optimized postthermal annealing. To enhance their functionalities, some 1D to 3D glass microcomponents, including waveguides, [24][25][26] microrotators, 27 micromirrors, 23 and microlenses, 28 have been integrated into the channels. However, the FLAE method suffers from low fabrication precision, on the order of 10 mm, determined by the wet etching process.…”
Section: Introductionmentioning
confidence: 99%
“…Micro-tensile testers are designed for specific kind of materials. To date, despite the importance of silica glass in various technological fields such as optics, electronics and chemistry [23][24][25][26], such a tool is missing for investigating the micromechanical behavior of these materials.…”
Section: Introductionmentioning
confidence: 99%
“…Images of the individual algae were also captured by a video camera implemented on the device. The acquired wave-functions identified up to five separate classes of algae in a spiked sample with an accuracy of 78% (Schaap et al, 2012b). Environmental samples would be harder to discern on this system due to detritus present and dilutions needed until only one cell was present in the detection zone at any one time.…”
Section: 21mentioning
confidence: 99%