4 March 2019 High throughput analysis of plankton morphology and dynamic
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Changes in morphology and swimming dynamics of plankton by exposure to toxic chemicals are studied using a novel a new paradigm of image acquisition and computer vision system. Single cell ciliate Stentor coeruleus enclosed in a drop of water provide a means to automatically deposit many individual samples on a at surface. Chemicals of interest are automatically added to each drop while the dynamical and morphological changes are captured with an optical microscope. With computer vision techniques, we analyze the motion trajectory of each plankton sample, along with its shape information, quantifying the sub-lethal impact of chemicals on plankton health. The system enables large screening of hundreds of chemicals of environmental interest which may make their way into water habitats.
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Sujoy Kumar Biswas, Thomas Zimmerman, Lucrezia Maini, Aminat Adebiyi, Luisa Bozano, Cecelia Brown, Vito Paolo Pastore, and Simone Bianco "High throughput analysis of plankton morphology and dynamic", Proc. SPIE 10881, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XVII, 1088109 (4 March 2019); Logo
Cited by 2 scholarly publications.
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Chemical analysis

Computer vision technology

Machine vision


Computing systems

Imaging systems

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