I'm currently a PhD candidate at Rice University in Department of Bioengineering, co-advised by Prof. Jacob T. Robinson and Prof. Ashok Veeraraghavan.
My research interests involve the integration of computational imaging, microscopy, neuroengineering, medical imaging and machine learning. My current research focuses on leveraging AI-enabled optics optimization and imaging algorithms to overcome the challenges of traditional lens-based systems and develop ultra-compact computational microscopes with superior imaging performance, enabling large-scale neural signal recording and enhanced medical imaging capabilities.
Highlighted Works
* Equal contribution
• Jimin Wu*, Yuzhi Chen*, Ashok Veeraraghavan, Eyal Seidemann, Jacob T. Robinson, ‘Mesoscopic calcium imaging in a head-unrestrained male non-human primate using a lensless microscope’, Nature Communications, 1-15, 1271 (2024) [link]
• Jimin Wu, Vivek Boominathan, Ashok Veeraraghavan, Jacob T. Robinson, ‘Real-time, deep-learning aided lensless microscope’, Biomedical Optics Express 8, 4037-4051 (2023). [link]
• Jesse K. Adams*, Dong Yan*, Jimin Wu*, Vivek Boominathan*, Sibo Gao, Alex V. Rodriguez, Soonyoung Kim, Jennifer Carns, Rebecca Richards-Kortum, Caleb Kemere, Ashok Veeraraghavan, Jacob T. Robinson, ‘In vivo lensless microscopy via a phase mask generating diffraction patterns with high-contrast contours’, Nature Biomedical Engineering, 1-12 (2022) [link]
• Dawei Li*, Jimin Wu*, Yufan He, Xinwen Yao, Defu Chen, Hyeon-Cheol Park, Kaiyan Li, Wu Yuan, Jerry L. Prince, Xingde Li, ‘Parallel deep networks for endoscopic OCT image segmentation’, Biomedical Optics Express 10, 1126-1135 (2019) [link]
Education
• Ph.D. Candidate, Bioengineering, Rice University (present)
• M.S., Electrical and Computer Engineering, Johns Hopkins University (2019)
• B.E., Optical Engineering, Wuhan University (2017)
Awards
• Rising Star in EECS, MIT (2024)
• Rice Future Faculty Fellow (2024)
• SPIE Optics and Photonics Education Scholarship (2023)
• School of Electronic Information Scholarship, Wuhan University (2014, 2015, 2016)
Codebase
Bio-FlatScope: Customed Matlab code for Bio-FlatScope reconstruction [link]
Real-time lensless microscope: Code and real-time GUI for the real-time lensless microscope [link]
Bio-FlatScopeNHP: Customized Matlab code for Bio-FlatScopeNHP reconstruction and data processing [link]
Talks
• ‘Bio-FlatScopeNHP: a miniaturized lensless microscope for mesoscopic calcium imaging in head-unrestrained non-Human primates’, invited talk, 2024 Optica Biophotonics Congress: Biomedical Optics, Fort Lauderdale (April 2024)
• ‘Functional imaging of non-human primate visual cortex using a miniaturized lensless microscope’, 2023 SPIE Photonics West, San Francisco (January 2023) [link]
• ‘Bio-FlatScope: a flat, lensless microscope for fluorescence imaging’, OSA Biophotonics congress: Optics and the Brain, BTh2B. 5 (April 2021) [link]
• ‘Segmentation of endoscopic OCT images using parallelly trained convolutional neural networks’, 2019 SPIE Photonics West, San Francisco (February 2019)