Robotic Micromanipulation of Zebrafish Larva
(Sprache: Englisch)
This book offers readers a series of robotic methods for manipulating zebrafish larva, one of the most popular model vertebrates widely used in biomedical research and clinical applications. The authors leverage advanced control theories, image processing...
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This book offers readers a series of robotic methods for manipulating zebrafish larva, one of the most popular model vertebrates widely used in biomedical research and clinical applications. The authors leverage advanced control theories, image processing algorithms, and artificial intelligence to establish a robot-assisted automated or semi-automated zebrafish larva-targeted micromanipulation system for different experimental purposes. The methods presented are generic and can be translated to manipulate other types of biological objects, such as embryos or cells. Coverage includes topics that span the procedures of manipulating zebrafish larva, such as in-plane positioning, three-dimensional orientation, deformation-controllable immobilization, organ-targeted microinjection, whole-organism imaging, and high-throughput trajectory tracking of zebrafish larvae group movement.Robotic Micromanipulation of Zebrafish Larva is written in a simple, clear, and easy-to-read style. It is an ideal reference for academic researchers and biomedical operators. It is also a valuable resource for students learning robotics, control and system theories, image processing, artificial intelligence, and biomedical engineering.
Inhaltsverzeichnis zu „Robotic Micromanipulation of Zebrafish Larva “
Introduction.- Robotic micromanipulation of small organisms.- Robotic positioning of zebrafish larva.- Robotic orientation of zebrafish larva.- Robotic immobilization of zebrafish larva.- Robotic microinjection of zebrafish larva.- Visual detection of zebrafish larva.- Trajectory tracking of zebrafish larvae group.Autoren-Porträt von Songlin Zhuang, Gefei Zhang, Dongxu Lei, Xinghu Yu, Mingsi Tong, Weiyang Lin, Yang Shi, Huijun Gao
Songlin Zhuang received a B.E. in automation and a Ph.D. in control science and engineering from the Harbin Institute of Technology, China, in 2014 and 2019, respectively. From 2019 to 2020, he was a Postdoctoral Researcher with the Department of Mechanical and Industrial Engineering at the University of Toronto, Canada. Since October 2020, he has been a Postdoctoral Fellow with the Department of Mechanical Engineering at the University of Victoria, Canada. Dr. Zhuang's research interests include robotic micromanipulation with biomedical and clinical applications and control theories with industrial applications.Gefei Zhang received a B.E. degree and Ph.D. in control science and engineering from the Harbin Institute of Technology, China, in 2016 and 2022, respectively. He is currently an Assistant Professor with the Research Institute of Intelligent Control and Systems at the Harbin Institute of Technology. His research interests include robotic micromanipulation, image processing, and adaptive robust control.
Xinghu Yu received an M.M. in osteopathic medicine from Jinzhou Medical University, China, and a Ph.D. in control science and engineering from the Harbin Institute of Technology, in 2016 and 2020, respectively. He is currently the Chief Executive Officer of the Ningbo Institute of Intelligent Equipment Technology Co., Ltd., China. He has authored over ten technical papers for conference proceedings and refereed journals, including the IEEE Transactions journals, and has over 20 invention patents. His research interests include switched systems, intelligent control, and biomedical image processing.
Huijun Gao received a Ph.D. in control science and engineering from the Harbin Institute of Technology, China, in 2005. From 2005 to 2007, he was a Postdoctoral Researcher with the Department of Electrical and Computer Engineering at the University of Alberta, Canada. Since 2004, he has been with the Harbin Institute of Technology, where heis
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currently a Chair Professor and the Director of the Research Institute of Intelligent Control and Systems. His research interests include intelligent and robust control, robotics, mechatronics, and their engineering applications. Dr. Gao is a Vice President of the IEEE Industrial Electronics Society and a Council Member of IFAC. He currently serves and has held editorial positions with several respected international journals, including Editor in Chief of the IEEE/ASME Transactions on Mechatronics, Coeditor in Chief of the IEEE Transactions on Industrial Electronics, and Associate Editor of Automatica, the IEEE Transactions on Cybernetics, and the IEEE Transactions on Industrial Informatics. He is a Fellow of the IEEE and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society. He is a member of the Academia Europaea.
Dongxu Lei received a B.E. degree in automation and an M.E. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018 and 2020, respectively, where he is pursuing a Ph.D. in control science and engineering. His research interests include image processing, data analysis, and control theory.
Mingsi Tong received a Ph.D. in mechatronic engineering from the Harbin Institute of Technology, Harbin, China, in 2016. He also concurrently studied at the National Institute of Standards and Technology, Washington, DC, USA, as a Guest Researcher during his graduate studies. He is an Associate Professor at the School of Mechatronics Engineering, Harbin Institute of Technology. His research interests include machine vision, pattern recognition, and surface metrology.
Weiyang Lin received B.S., M.Sc., and Ph.D. degrees in mechanical engineering from the Harbin Institute of Technology, Harbin, China, in 2006, 2008, and 2014, respectively. He is an Associate Professor with the Research Institute of Intelligent Control and Syste
Dongxu Lei received a B.E. degree in automation and an M.E. degree in control science and engineering from the Harbin Institute of Technology, Harbin, China, in 2018 and 2020, respectively, where he is pursuing a Ph.D. in control science and engineering. His research interests include image processing, data analysis, and control theory.
Mingsi Tong received a Ph.D. in mechatronic engineering from the Harbin Institute of Technology, Harbin, China, in 2016. He also concurrently studied at the National Institute of Standards and Technology, Washington, DC, USA, as a Guest Researcher during his graduate studies. He is an Associate Professor at the School of Mechatronics Engineering, Harbin Institute of Technology. His research interests include machine vision, pattern recognition, and surface metrology.
Weiyang Lin received B.S., M.Sc., and Ph.D. degrees in mechanical engineering from the Harbin Institute of Technology, Harbin, China, in 2006, 2008, and 2014, respectively. He is an Associate Professor with the Research Institute of Intelligent Control and Syste
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Bibliographische Angaben
- Autoren: Songlin Zhuang , Gefei Zhang , Dongxu Lei , Xinghu Yu , Mingsi Tong , Weiyang Lin , Yang Shi , Huijun Gao
- 2023, 1st ed. 2023, XIV, 256 Seiten, 128 farbige Abbildungen, Maße: 16,8 x 24 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3031334094
- ISBN-13: 9783031334092
Sprache:
Englisch
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