Adjunct Associate Professor
Adjunct Associate Professor
Laboratory Medicine and Pathology
- (206) 543-5339
- MEB 207
- Molecular Biophotonics Laboratory
Jonathan Liu was born in Albany, NY and raised in Honolulu, HI, where he
attended the Iolani School. Jonathan received degrees in mechanical
engineering at Princeton and Stanford. He was a postdoctoral fellow in
the department of electrical engineering (Ginzton Labs) and the
Molecular Imaging Program at Stanford, and was later appointed as an
instructor within the Stanford University School of Medicine. Jonathan
spent four years as an assistant professor of biomedical engineering at
the State University of New York (SUNY) at Stony Brook prior to moving
to the department of mechanical engineering at the University of
Washington in 2014.
- Ph.D. in Mechanical Engineering, Stanford University, 2005
- M.S. in Mechanical Engineering, Stanford University, 2000
- BSE in Mechanical Engineering / Engineering Physics, Princeton University, 1999
- Assistant Professor, Biomedical Engineering, Stony Brook University, 2010-2014
- Instructor, Stanford University School of Medicine, 2009-2010
- Postdoc, Stanford University Electrical Engineering and School of Medicine, 2005-2009
Jonathan Liu is director of the Molecular Biophotonics Laboratory,
which is developing optical strategies for biomedical diagnostics and
therapy guidance. The goals of the lab are highly translational and multi-disciplinary, with a specific focus on optomechanical design and instrumentation, contrast agents, image processing, machine learning, and preclinical/clinical validation. For example, the lab is developing miniature optical-sectioning
microscopy devices with targeted contrast agents to enable
the early detection of cancer and to guide the surgical resection of
tumors. These technologies have the potential to revolutionize patient
care by providing surgeons with a real-time alternative to invasive
biopsy and histopathology. In addition, the lab is developing novel open-top light-sheet (OTLS) microscope devices, in conjunction with automated tissue-processing systems (optical clearing and fluorescence labeling), and tissue-manipulation strategies, to enable slide-free nondestructive 3D
pathology of clinical specimens (biopsies and surgical excisions). This has the potential to greatly improve treatment decisions and patient outcomes.
- C. Yin, L. Wei, K. Kose, A.K. Glaser, G. Peterson, M. Rajadhyaksha, and J.T.C. Liu, “Real-time video mosaicking to guide handheld in vivo microscopy,” J. Biophotonics (2020).
- C. Mao, M.Y. Lee, J. Jhan, A.R. Halpern, M.A. Woodworth, A.K. Glaser, T.J. Chozinski, L. Shin, J.W. Pippin, S.J. Shankland, J.T.C. Liu, and J.C. Vaughan, “Feature-rich covalent stains for super-resolution and cleared-tissue fluorescence microscopy,” Science Advances 6, eaba4542 (2020)
- A.K. Glaser, N.P. Reder, Y. Chen, C. Yin, L. Wei, S. Kang, L.A. Barner, W. Xie, E.F. McCarty, C. Mao, A.R. Halpern, C.R. Stoltzfus, J.S. Daniels, M.Y. Gerner, P.R. Nicovich, J.C. Vaughan, L.D. True, and J.T.C. Liu, "Multi-immersion open-top light-sheet microscope for high-throughput imaging of cleared tissues," Nature Communications 10, 2781 (2019)
- L. Wei, C. Yin, Y. Fujita, N. Sanai, and J.T.C. Liu, "Handheld line-scanned dual-axis confocal microscope with pistoned MEMS actuation for flat-field fluorescence imaging," Opt. Lett. 44, 671 (2019)
- Y. Chen, W. Xie, A.K. Glaser, N.P. Reder, C. Mao, S.M. Dintzis, J.C. Vaughan, and J.T.C. Liu, "Rapid pathology of lumpectomy margins with open-top light-sheet (OTLS) microscopy," Biomed. Opt. Exp. 10, 1257 (2019)
- Y. Wang, N.P. Reder, S. Kang, A.K. Glaser, Q. Yang, M.A. Wall, S.H. Javid, S.M. Dintzis, and J.T.C. Liu, "Raman-encoded molecular imaging (REMI) with topically applied SERS nanoparticles for intraoperative guidance of lumpectomy," Cancer Research 77, 4506 (2017).
- A.K. Glaser, N.P. Reder, Y. Chen, E.F. McCarty, C. Yin, L. Wei, Y. Wang, L.D. True, and J.T.C. Liu, "Light-sheet microscopy for slide-free nondestructive pathology of large clinical specimens," Nature Biomedical Engineering 1, 0084 (2017).
- C. Yin, A.K. Glaser, S.Y. Leigh, Y. Chen, Linpeng Wei, P.C.S. Pillai, M. Rosenberg, S. Abeytunge, G. Peterson, C. Glazowski, N. Sanai, M.J. Mandella, M. Rajadhyaksha, and J.T.C. Liu, "A miniature in vivo MEMS-based line-scanned dual-axis confocal microscope for point-of-care pathology," Biomed Opt. Exp. 7, 251 (2016).
- Y. Wang, S. Kang, A. Khan, P. Bao, and J.T.C. Liu, "In vivo multiplexed molecular imaging of esophageal cancer via spectral endoscopy of topically applied SERS nanoparticles," Biomed. Opt. Exp. 6, 3714 (2015).
- C. Zavaleta, E. Garai, J.T.C. Liu, S. Sensarn, M.J. Mandella, D. Van de Sompel, S. Friedland, J. Van Dam, C.H. Contag, and S.S. Gambhir, "A Raman-based endoscopic strategy for multiplexed molecular imaging," Proc. Natl. Acad. Sci. U.S.A. 110, 2288 (2013).
Honors & awards
- UW College of Engineering Team Award (2018), Engineering Innovation in Health (EiH) instructional team: Jonathan Liu, Jonathan Posner, Kat Steele, Eric Seibel
- Bryan T. McMinn Endowed Professorship in Mechanical Engineering, Univ. of Washington (2016–2020)
- Outstanding Teacher Award, 12/2013, Stony Brook University
- K99/R00 Pathway to Independence Award, 2009–2014, NIH / NIBIB
- Canary Foundation / American Cancer Society postdoctoral fellowship award, 2005–2008
- AIAA Wright Brothers Graduate Award, 2003
- NSF Graduate Fellowship Award, 1999–2002
- Tau Beta Pi, Phi Beta Kappa, and Sigma Xi Book Award, 1999, Princeton University
- Sau-Hai Lam *58 Prize as the top graduate in mechanical and aerospace engineering, 1999, Princeton University
Big data and automation
These ME research projects demonstrate how mechanical engineers are expanding future applications of machine learning.
Fighting cancer with mechanical engineering
ME faculty are developing devices and technologies to better detect and treat cancer.
College of Engineering Awards
Congratulations to the ME faculty, students and staff members who received 2018 College of Engineering Awards.