synergize AI, machine vision and microscopy
AI-based microscopy machine vision research is a highly interdisciplinary field requiring good knowledge of machine learning, computer vision, microscopy and the associated biomedical applications. We develop new deep learning and computer vision algorithms driven by real biomedical applications for R&D. We also generalize or productionize existing algorithms for high-dimenstional microscopy images, so that more and more the high-end AI algorithms are accessible to biomedical researchers. Currently, our focus is applications arose from whole-body or whole-organ imaging using lightsheet flurorescence microscopy (LSFM), high resolution confocal microscopy images, and high throughput timelapse microscopy, as well as mass spectrometry imaging. But, the methods and tools are mostly generalizable for other modalities and applications. In our group, we are building a diverse team with different expertises and embrace extensive internal and external collaborations.
Highlights
Our Research
AI-based microscopy machine vision is a highly multi-disciplinary field. There are so many fanscinating problems to explore and study.
Our Resources
Our group is fully commited to open science, such as open source softwares/packages, public datasets, open access publications. We believe open science can lead to impactful big science.