Webinar by Keisuke Goda - Intelligent Image-Activated Cell Sorting: A Tutorial - Wed., Jan. 8, 7 PM EST

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Webinar by Keisuke Goda - Intelligent Image-Activated Cell Sorting: A Tutorial - Wed., Jan. 8, 7 PM EST

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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