About Us


About NBI

NanoBioImaging Ltd. (NBI), a Hong Kong based high-tech startup established in Dec 2013, aims to develop and commercialize advanced bio-imaging techniques in both research and clinical areas. In the past few years, NBI’s team has developed a world-leading super resolution imaging system, transforming the cutting-edge technique, Super Resolved Fluorescence Microscopy, into a reliable commercial product, SRiS. SRiS achieves a super imaging resolution with 20 nm in XY directions, which is more than 10 times the resolution of traditional optical microscopes, e.g., confocal microscopy. SRiS also overcomes the challenges caused by drift and noise in the normal lab environments, enabling the technique to be adopted to a broad range of applications.

NBI’s core IP on active locking and simultaneous dual channel imaging techniques has made it stand out in the competition with giant companies in this area. During the past three years, NBI has sold the super resolution imaging system to several institutions, like the University of Hong Kong, Sun Yat-sen University, and Sichuan Chinese Medicine Academy. Meanwhile, NBI has provided bioimaging services to more than 100 biologist and life science researchers in Hong Kong and Mainland China, with many original and new findings revealed. We now have built an imaging service center in Beijing Institute of Genomics, Chinese Academy of Science and delivered our SRIS to UCLA, US. After years of development, NBI has demonstrated its leading position in super resolution microscope.

In late 2017, NBI received the investment from Hong Kong X-Tech Fund.



NBI was co-founded by professors from HKUST and CityU. Currently, NBI has formed an interdisciplinary team, consisting of talents from biology, optics and computer Science, as well as a team of executives with multinational management experience.


Join Us

If you are interested in imaging system development (including optical engineering, algorithms and software development), marketing, or biology, please send your CV to: