PICASSO and Wholebody-Expansion Microscopy for Ultra-Multiplexed Imaging and Wholebody Super-Resolution Imaging
Abstract Fluorescence microscopy imaging has been widely used in neuroscience and cancer research, but it still has two limitations: (1) the number of fluorophores that can be simultaneously imaged in a single staining and imaging round is limited to ten, and (2) it is not easy to achieve super-resolution imaging over the whole organism. In this webinar, Dr. Jae-Byum Chang provides two state-of-the-art techniques that he has recently developed. The first technique is PICASSO, which enables greater than 10-color multiplexed imaging of specimens without any reference spectra measurements, even with microscopy equipped with emission filters. The second technique is wholebody-expansion microscopy , which enables the super-resolution imaging of all anatomical structures of whole vertebrates, especially zebrafish larvae.
Learning objects Understand the limitations of the current multiplexed imaging techniques. Discover how ultra-high multiplexed imaging can be used to study the molecular heterogeneity of the brain. Illustrate the advantages of wholebody super-resolution imaging of vertebrates.
Bio Dr. Jae-Byum Chang is an assistant professor in the Department of Materials Science and Engineering of the Korea Advanced Institute of Science and Technology (KAIST). Dr. Chang’s research focuses on developing novel fluorescence microscopy imaging techniques, especially multiplexed imaging and super-resolution imaging via tissue expansion. Dr. Chang received his B.A. in 2008 from KAIST, where he double majored in physics and biological science. Then, he obtained his Ph.D. in Materials Science and Engineering from the Massachusetts Institute of Technology. His thesis was about developing a new lithography technique through the self-assembly of block copolymers. He worked as a postdoctoral associate in the MIT Media Lab and developed iterative expansion microscopy. He has been working as an assistant professor at KAIST since 2018.