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To join, leave or search the confocal microscopy listserv, go to: http://lists.umn.edu/cgi-bin/wa?A0=confocalmicroscopy Post images on http://www.imgur.com and include the link in your posting. ***** Hi All, ISAC has another imaging cytometry focused webinar coming up that may be of interest to the microscopy community. It is next Wednesday, (Jan. 8). The webinar will be by Keisuke Goda on Intelligent Image-Activated Cell Sorting. The webinar is free and open to members and non-members alike, so please feel free to attend if you are image guided cell sorting. The webinar is at 7 PM EST and you should be able to register at the link below. If you have any trouble with the online registration feel free to contact me - it is clunky. Thanks! Registration Link: http://cytou.peachnewmedia.com/store/seminar/seminar.php?seminar=151062 About the Faculty: Keisuke Goda is a professor in the Department of Chemistry at the University of Tokyo, an adjunct professor in the Institute of Technological Sciences at Wuhan University, and an adjunct professor in the Department of Bioengineering at UCLA. He obtained a BA degree from UC Berkeley summa cum laude in 2001 and a PhD from MIT in 2007, both in physics. At MIT, he worked on the development of gravitational-wave detectors in the LIGO group which led to the 2017 Nobel Prize in Physics. After several years of work on high-speed imaging and microfluidics at UCLA, he joined the University of Tokyo as a professor. His research group focuses on the development of serendipity-enabling technologies based on molecular imaging and spectroscopy together with microfluidics and computational analytics to push the frontier of science. He is an associate editor of Cytometry Part A and APL Photonics. He has published >350 journal and conference papers, filed >30 patents, and received numerous awards such as Japan Academy Medal, JSPS Prize, and Analytical Chemistry Young Innovator Award. Webinar Summary: The advent of intelligent Image-Activated Cell Sorting (iIACS) has enabled high-throughput intelligent image-based sorting of single live cells or cell clusters with unique morphochemical features that are difficult to discern when compressing these spatial data into intensity signals in fluorescence-activated cell sorting (FACS) [Nitta et al., Cell 175, 266-276 (2018)]. iIACS is an on-chip microfluidic technology that builds on a seamless integration of a high-throughput fluorescence microscope, cell focuser, cell sorter, and deep neural network on a hybrid software-hardware data management architecture, thereby providing the combined merits of optical microscopy, FACS, and deep learning [Isozaki et al., Nature Protocols 14, 2370-2425 (2019)]. Therefore, iIACS serves as an essential part of holistic single-cell analysis by providing direct connections between population-level analysis (flow cytometry), cell-level analysis (microscopy), and gene-level analysis (sequencing) of sorted cells. In this webinar, I will give a tutorial about the principles and applications of iIACS and compare the usability of iIACS with other technologies such as FACS, imaging flow cytometry (without sorting), and image-based cell pickers. -- Silas J. Leavesley, Ph.D. Professor Department of Chemical and Biomolecular Engineering Department of Pharmacology Center for Lung Biology University of South Alabama 150 Jaguar Drive, SH4129 Mobile, AL 36688 ph: (251)-460-6160 fax: (251)-461-1485 web: http://www.southalabama.edu/centers/bioimaging google scholar: http://scholar.google.co.uk/citations?user=knkwcj4AAAAJ |
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