About our group.

What are computational lenses?

Human visual perception is part-“eye” and part-“brain”. In the context of imaging, imaging algorithms form the brain of our optical instruments. In doing so, these algorithms can help us measure instead of merely see.

High-throughput detectors and efficient computation have enabled us to create computational versions of physical lenses. These computational lenses are capable of imaging very small objects in noisy and challenging situations, often beyond the designed capabilities of their physical counterparts. For example, we are able to augment the functions of computational lenses by inserting known prior knowledge about the capabilities of the underlying optics and/or characteristics of the specimen under study. Our group pushes and helps define the capabilities of such computational lenses.

Research interests

  • Single particle imaging.
  • Computational lenses for X-ray free-electron lasers.
  • Computational lenses for electron microscopy: TEM, STEM, cryo-TEM, in-situ TEM.
  • Rigidity in order-disorder transitions in nanoscale systems.
  • Robust network inference of hidden transmission routes of infectious diseases.
  • Hierarchically explainable artificial neural networks.
  • Computer vision.

About Duane

Professional history:

Professional service:

Click here to download Duane’s CV.

Multiple names:

  • Duane appears in scientific publications as Ne-Te Duane Loh (Family name underlined), abbreviated as “N.D. Loh”.
  • However, if you are writing Duane a check (yay!), use his official name: Ne-Te Loh, which is a translation of his Chinese name 罗珥志.
Theme by: Allo les Parents, Powered by: Wordpress
Skip to toolbar