作者：高分子能源
鏈接：https://www.zhihu.com/question/322445215/answer/3012918968
來源：知乎
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We have an immediate full scholarship Ph.D. in the areas of light microscopy, label-free imaging, and neural imaging at The Chinese University of Hong Kong (CUHK) with joint training at Nanyang Technological University (NTU).
The admitted student will be enrolled in August 2023 in the Department of Biomedical Engineering at CUHK. The student will conduct research at both CUHK and NTU. A four-year full scholarship will be provided to the admitted student with a monthly stipend of >HK$ 18,000 as well as medical insurance. Inquiries and applications should be sent to Prof. Renjie Zhou at rjzhou@cuhk.edu.hk and Prof. Tong Ling at tong.ling@ntu.edu.sg by May 5, 2023.
CUHK supervisor: Prof. Renjie Zhou https://www.lambcuhk.org/
Department of Biomedical Engineering, CUHK
NTU supervisor: Prof. Tong Ling https://www.tonglinglab.com/
School of Chemistry, Chemical Engineering and Biotechnology, NTU
Planned Arrangement for Joint Supervision of the PhD Student:
The student participating in this project will undergo extensive training in optics and machine learning and will focus on validating and improving our new high-speed 3D tomographic imaging technology for visualizing the 3D deformations of neurons during action potentials.
The 4-year PhD study of the student consists of three stages: Stage I: In the first two years, the student will complete coursework in the Biomedical Engineering Department at CUHK and focus on designing and validating the tomographic imaging system for neuroimaging purposes. During this period, the student is also expected to spend around 3-6 months in the host collaborator』s lab at NTU in Singapore, preferable during the summer term; Stage II: Starting from the third year, the student will travel to the host lab at NTU for one year, where he will work with the host lab to construct the same setup and conduct imaging experiments on primary neurons in vitro; and Stage III: In the last year, the student will return to CUHK to finish up the PhD research work and prepare for the PhD defense.
The expected deliverables of this project are threefold: (1) As sensitivity is the key to imaging the cellular deformation accompanying the action potential, we expect that this project will result in a deeper understanding of the benefits of machine learning for enhancing the imaging system』s sensitivity, which can be concluded in the form of several journal publications; (2) 3D visualization of neuronal deformation during the action potential can offer new insights regarding the electromechanical coupling in neurons. Such experimental observation, which has never been done before, can have broad interest from the general audience, and has the potential to be published in high-impact journals; and (3) The extremely sensitive 3D imaging system built in this project can be used for other studies in label-free biomedical imaging or material testing.
PI at CUHK: Renjie Zhou has been recently promoted to an Associate Professor (with tenure) in the Department of Biomedical Engineering at CUHK, where he directs the Laser Metrology and Biomedicine Laboratory (LAMB). Prof. Zhou received his PhD degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2014 and undertook postdoctoral training at MIT between 2014-2017. His research interest is in developing optical precision instruments for various research and industrial applications. He has published over 100 journal and conference papers and filed over 10 US and China patents with several licensed to industry, including his own startup that received the Rising Star Award at MIT Technology Review China in Life Science Start-up Competition. He has been involved in organizing > 20 international conferences as co-chairs/committee members, delivered >40 conference invited talks and seminars/colloquiums, and reviewed for >30 international journals. He is currently serving on the editorial boards of JOSA A, IEEE Photonics Technology Letters, and International Journal of Extreme Manufacturing. He is a Senior Member of Optica and SPIE and a regular member of IEEE. He received the Croucher Innovation Awards in 2019.
LAMB lab introduction: The lab has a team of >16 researchers of mainly postdocs and graduate students with disciplines in optics, physics, biology, and computer science. The lab is focused on developing cutting-edge optical imaging technologies, including quantitative phase microscopy, super-resolution microscopy, deep-learning assisted microscopy, optical diffraction tomography, and their applications in biology, medicine, and material testing. The lab is equipped with state-of-the-art instruments and platforms, such as high-precision optical tables, fully automatic light microscopes, supercontinuum laser light source, femtosecond laser source, high speed cameras, digital micromirror devices, spatial light modulators, high-end objective lenses, etc. The lab has established long-term close cooperative relations with many top universities, including Massachusetts Institute of Technology, NTU, Zhejiang University, etc.
CUHK課題組負責人介紹：周仁傑，最新晉陞為香港中文大學生物醫學工程學系副教授（終身教授），OPTICA 與SPIE高級會員，對定量相位顯微（QPM）與光學繞射層析成像（ODT）進行了系統而深入的研究，榮獲2019年度 「裘槎前瞻科研大獎」 。發表SCI論文50餘篇，包括Nature Photonics、Physical Review Letters、Advanced Photonics、Nano Letters、Lasers & Photonics Review等高水平期刊，最高單篇研究論文被引415次。現擔任JOSA A、IEEE PTL、SPIE Quantitative Phase Imaging 等期刊編委或會議委員。周教授早前於麻省理工學院G. R. Harrison光譜實驗室、伊利諾伊大學爾巴納-香檳分校Beckman 研究所、亞利桑那大學James Wyant光學中心等光學領域世界前沿科研機構從事相關研究工作，期間榮獲SPIE 2012 Optics & Photonics Education Scholarship、P. D. Coleman 研究優秀獎、羅遠祉研究優秀獎等獎項。
LAMB實驗室介紹：現有博士後、博士生、研究助理16人，專業涵蓋了光學、生物學、化學、計算機等眾多學科，具有豐富的理論分析和實踐操作能力。實驗室的研究內容包括但不限於：定量相位顯微鏡、超分辨顯微鏡、機器學習輔助智能顯微鏡、光學繞射層析成像、高靈敏度成像、超高速三維成像、生物細胞成像應用開發。實驗室作為第一負責人承擔多項研究課題。實驗室高度注重研究與產業結合，孵化出一家初創企業。實驗室擁有完善的先進激光成像實驗設備，如高精度光學平台、全自動顯微鏡、超連續激光光源、飛秒激光器、超高速相機、高解像度數字微鏡器件等儀器設備。已經與美國麻省理工學院、新加坡南洋理工大學、浙江大學等知名高校建立了長期密切合作關係。
PI at NTU: Prof. Tong Ling joined Nanyang Technological University in January 2021 and was subsequently awarded the Singapore NRF Fellowship (Class of 2022). Before that, he was a postdoctoral fellow at Stanford University. He received his Ph.D. in 2016 and B.Eng. in 2011 from the College of Optical Science and Engineering, Zhejiang University. Specialized in interferometric imaging techniques, he developed high-precision imaging systems for biomedical imaging, optical metrology, and applied physics, which have been concluded in many papers published in leading journals, including PNAS, Science Advances, Light: Science & Applications, and Optics Letters. He invented the randomly encoded hybrid grating for versatile quadriwave lateral shearing interferometry, which was nominated for 2015 China』s Top 10 Optical Breakthroughs by the Chinese Journal of Lasers. He also received the Wang Daheng Optics Award from the Chinese Optical Society, the top award for young researchers in optics and photonics in China. Recently, his research in full-field interferometric imaging of action potentials demonstrated a new approach to functional neuroimaging using optical phase signals, opening the door to all-optical non-fluorescent techniques for functional imaging in the retina and the brain.
NTU課題組負責人介紹：凌曈，新加坡南洋理工大學化學化工與生物科技學院（NTU, CCEB）南洋助理教授，研究領域專註於神經活動的光學干涉成像，其傑出工作得到了新加坡國家研究基金會的資助，同時兼任新加坡眼科研究所的青年PI。凌教授的研究成果廣泛發表在頂級期刊，如PNAS、Science Advances、Light: Science & Applications等，同時還出版了一本由中國國家科學技術學術著作出版基金資助的學術專著。凌教授還擔任多個知名雜誌的審稿人，如Nature Communications和Light: Science & Applications。在浙江大學光電科學與工程學院獲得本科和博士學位後，凌教授曾在斯坦福大學Hansen實驗物理實驗室和斯坦福醫學院眼科系進行博士後研究，探索光學干涉成像方法在神經元電信號檢測及機理研究方面的應用。他發明的隨機編碼混合光柵波前傳感器曾獲得《中國激光》雜誌社「2015年度中國光學十大進展」提名，並榮獲中國光學學會「王大珩光學獎」。
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