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28 September 2023 Rotation-assisted optical trapping for deep learning-based single-cell imaging and classification
Yaoran Liu, Rohit Unni, Yuebing Zheng
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Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550E (2023) https://doi.org/10.1117/12.2673320
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States
Abstract
We develop an all-optical platform integrating a universal optothermal rotation technique with a standard optical microscope to drive the out-of-plane rotation of an arbitrary organism for its high-resolution volumetric visualization with reduced optical shadowing, occlusion and scattering effect. Furthermore, when coupled with machine learning for the classification of cells of high similarity, our volumetric imaging technique can collect large numbers of unique images for each cell and therefore reduce sample quantities required for the machine learning training. Impressively, we can improve the cell classification accuracy while using one-tenth the number of samples.
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Yaoran Liu, Rohit Unni, and Yuebing Zheng "Rotation-assisted optical trapping for deep learning-based single-cell imaging and classification", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550E (28 September 2023); https://doi.org/10.1117/12.2673320
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KEYWORDS
Biological imaging
Optical tweezers
Biological samples
Nanoparticles
Optical properties
Proteins
Pathogens
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