Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Author:
Affiliation:
1. Institute of Robotics and Automatic Information System (IRAIS), Nankai University,Tianjin Key Laboratory of Intelligent Robotic (tjKLIR),Tianjin,China,300350
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10160211/10160212/10161043.pdf?arnumber=10161043
Reference33 articles.
1. Rapid computational cell-rotation around arbitrary axes in 3D with multi-core fiber
2. Multi-axial non-contact in situ micromanipulation by steady streaming around two oscillating cylinders on holonomic miniature robots
3. High-throughput acoustofluidic microchannels for single cell rotation
4. Autonomous robot-aided optical tweezer system for biological cell manipulation
5. Indentation Versus Tensile Measurements of Young's Modulus for Soft Biological Tissues
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