Three-dimensional Point Source Localization based on Point Spread Function Analytics
Overview
The inverse process of going from the 2D snapshot to the 3D positions of the point sources is a large-scale and highly ill-posed problem. We have developed novel and efficient AI algorithms for getting the locations and the intensity of the point sources accurately.
Technical name of innovation
Three-dimensional Point Source Localization based on Point Spread Function Analytics
Commercialisation opportunities
technology licensing agreement
Problem addressed
A major difficulty of traditional microscopes is that they cannot determine the depth position of a point source because its image is roughly the same above or below the focal plane.
Innovation
- We have developed novel and efficient AI algorithms for getting the locations and the intensity of the point sources accurately.
Key impact
- Instead of taking thousands of 2D images to get 3D information of points, our technique uses only one 2D image to obtain the 3D information of all points.
- This saves time and money.
Application
- Cell imaging in biology
- Spectral diffusion in chemistry
- Quantum optics in physics
- Locating and classifying debris in outer space
Lingnan University
Lingnan University, a venerable institution in Hong Kong's academic landscape, has a rich heritage that dates back to its founding in Guangzhou in 1888. Known in its earlier years as Lingnan Xuexiao and subsequently as Lingnan University, the institution flourished in the field of higher education until 1952. It was reborn in Hong Kong in 1967 and has since aspired to evolve into a distinguished research-focused liberal arts university for the digital age. Lingnan is committed to excellence in teaching, learning, research, and fostering community ties, aiming for international acclaim.
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