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• W2022201479 abstract "Shadow image based high-throughput continuous cell monitoring technique is proposed. Shadow image variations of human alveolar epithelial cells (A549) cultured in a custom built incubator are analyzed qualitatively and quantitatively. Two measures which correspond to the morphology change of the cells are suggested and defined. Within this platform, it is demonstrated that a single image of a 5M pixel CMOS image sensor can monitor thousands of biological cells simultaneously and continuously. This compact, low-cost, and high-throughput cell monitoring technique holds great promise in the fields of point-of-care testing and telemedicine especially for the resource limited settings." @default.
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• W2022201479 date "2012-01-01" @default.
• W2022201479 modified "2023-09-27" @default.
• W2022201479 title "Shadow image based high-throughput continuous cell monitoring for point-of-care and telemedicine applications" @default.
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• W2022201479 doi "https://doi.org/10.1109/bhi.2012.6211760" @default.
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