Image-guided proteomics is a new technology developed by Dr. Jung-Chi Liao’s team in Academia Sinica. The system of image-guided proteomics integrates optics, mechatronics, photochemistry, proteomics, and AI to label and isolate location-specific proteins under a microscope in a subcellular level. With this technology, a microscopy is not only a system that be used to observe, but also to “grab” the proteins in the region of interest. There is no existing system that can perform high-content subcellular protein labeling, making this image-guided proteomics platform a leading technology to broadly benefit the cell biology community. Our current goal is to reach high sensitivity and specificity for widely diverse biological problems within one or two years. The market potential can reach or exceed other existing advanced microscopy technologies.
Currently Liao’s group is testing and optimizing the sensitivity and specificity of the first prototype system, where microscopy imaging, deep learning-based real-time image analysis, high-speed two-photon scanning, photo-induced protein labeling, and automated high-content processing have been implemented for the following protein purification and mass spectrometry analysis. This technology has been patented in Taiwan. The US, EP, and China patents are currently under review.
It is known that Illumina’s DNA sequencer is the necessary system for DNA research. Our goal is to establish our image-guided proteomics technology as the necessary platform for protein research.
Fundraising Target：SYNCELL is currently looking for angel or VC investors for the system development and marketing. It is expected that the first machine will be ready for sale at the fourth quarter of 2020. We look for USD$2M investment in the pre-A round.