Academic Profile

Academic Profile

Assoc Prof Liu Quan

Associate Professor, School of Chemical and Biomedical Engineering

Assoc Prof Liu Quan

Dr. Quan Liu received the PhD degree in Biomedical Engineering from the University of Wisconsin, Madison. He is currently an associate professor in the School of Chemical and Biomedical Engineering at Nanyang Technological University in Singapore. His research interest is focused on optical imaging and spectroscopy for medical diagnostics. Dr. Liu has published more than fifty journal papers and held sixteen US patents/applications in the field of biomedical optics. He has also secured a total mount of external funding more than four million USD to support his group. Dr. Liu has served as a reviewer for several top journals, such as Optics Letters, Optics Express and Nature Communication, and multiple international funding agencies as well as a subcommittee member and session chair for multiple international conferences such as European Conferences in Biomedical Optics (ECBO) and Photonics West. Dr. Liu is a senior SPIE member and a regular OSA member.

Dr. Quan Liu and his group's research in biomedical optics, i.e. biophotonics, focus on developing "optical biopsy" methods based on optical imaging and spectroscopy including diffuse reflectance, fluorescence and Raman techniques. These methods can non-invasively characterize the pathological status of tissues for medical diagnostics to reduce or even remove the need of performing physical biopsies. This group aims to address fundamental challenges that prevent these techniques from being clinically applicable by developing novel optical methods and/or incorporating other complementary techniques such as elastography, nanotechnology enabled plasmonics and ultrasound imaging, in a purpose to enhance the capability of optical biopsy methods in the accuracy, the signal to noise ratio, the spatial resolution and multiplexing capability. We are also interested in looking at the therapeutic effect of laser enabled therapy in cancer and the identification of rare tumor cells with optical spectroscopy. In parallel to technical development, his group also performs translational research to transfer these powerful optical techniques from benchtop to beside.

For more information, please visit his group's homepage at
Research Interests
• Biophotonics
• Biomedical optical spectroscopy and imaging
• Non-invasive medical diagnostics
• Biomedical instrumentation
• Computer simulation of light propagation in tissue
Current Projects
  • Acne and Sebaceous Gland Program in SRIS@Novena
  • Depth profiling of Raman fingerprints to determine the state of wound healing
  • High throughput label-free flow cytometry based on multiplex Raman spectroscopy
  • Investigation of Raman Spectroscopy for Diagnosis of Hirshsprung's Disease
  • Radio frequency encoding ultrafast optical spectrometer and its demonstration in flow cytometry
  • Towards An Intelligent Sensor for Non-invasive Glucose Monitoring in Diabetes
  • Towards field malaria diagnosis based on surface enhanced Raman spectroscopy in a low-cost fluidic chip
Selected Publications
  • Chao-Mao Hsieh, Manish Verma, Quan Liu. (2018, January). Development of Wavefront Shaping for Optical Spectroscopy. Paper presented at Focus on Microscopy.
  • Manish Verma and Quan Liu. (2017). Evaluation of the optimal steepest ascent algorithm for focusing light through turbid media. European Conferences on Biomedical Optics (ECBO), Germany.
  • Shuo Chen, Gang Wang, Xiaoyu Cui and Quan Liu*. (2017). A stepwise method based on Wiener estimation for spectral reconstruction in spectroscopic Raman imaging. Optics Express, 25(2), 1005-1018.
  • Jian Ju, Wei Liu, Clint Michael Perlaki, Keren Chen, Chunhua Feng and Quan Liu*,. (2017). Sustained and Cost Effective Silver Substrate for Surface Enhanced Raman Spectroscopy Based Biosensing. Scientific Reports, 7, 1769.
  • Shuo Chen, Caigang Zhu, Christopher Hoe-Kong Chui, Gyanendra Sheoran, Bien-Keem Tan, and Quan Liu. (2017). Spectral diffuse reflectance and autofluorescence imaging can perform early prediction of blood vessel occlusion in skin flaps. Journal of Biophotonics, 10(12), 1665-1675.

« Back to Category Write-up