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Characterizing Cell Phenotype Using Dynamic Morphology and Social Networking Signatures

Presented by

Dr. Thomas Baer

Executive Director

Advances in Biological and Medical Measurement Science

Stanford University, California

December 11, 2014
9:00 am PT US/Canada
12:00 pm ET US/Canada
5:00 pm GMT/UK/Portugal
6:00 pm CET/Berlin

Register: http://cytou.peachnewmedia.com
Cost: FREE

Dr. Thomas Baer is the Executive Director of the Stanford Photonics Research Center, a consulting professor in the Applied Physics Department, and an Associate Member of the Stem Cell Institute at Stanford University.  His current scientific research is focused on developing imaging and biochemical analysis technology for exploring the molecular basis of human developmental biology and regenerative medicine, optogenetics, and developing new high-throughput technologies for protein engineering.

Traditional cytometry uses exquisite multi-parameter quantitative approaches to determining the precise makeup of cell suspensions obtained by measuring a minimally invasive blood draw sample.  This approach usually employs special techniques for labeling the surface or internal structures in the cells and the blood sample is usually discarded post measurement.  In contrast, cells intended for use in stem cell or regenerative medicine applications are intended for re-transplant back into the patient.  Thus it is greatly preferred and possibly essential that methods for phenotyping and enumeration of the stem cell products do not depend on any chemical labeling or molecular modifications of the cells.  Moreover, although the starting biological material is often a cell suspension, the cells used in a transplant may have additional characteristic collective spatial structures or motile behaviors (social networking) that are important characteristics for successful engraftment.  I will discuss methods developed in my lab to provide phenotypic signatures derived from automated analysis of time lapse videos of embryonic and induced pluripotent stem cell populations (ESCs and iPSCs).  These measurements are performed without staining using recently developed optical methods such as quantitative phase imaging.   We measure dynamic characteristics of the cells, such as mitosis rates, cell size and shape, cell velocity (speed and direction), distances to nearest neighbors, and other features characterizing the cell population in vitro.  We have found that these features can be used to predict colony formation, phenotypic purity levels, and cell differentiation percentages that correlate well with molecular phenotyping methods.   We are proposing these methods as an essential component of quality control for future stem cell based

CYTO U Webinar Recordings
A recording of this webinar will be posted online at CYTO U within 24-48 hours after the live event for free viewing by all.  You may also want to watch the recordings of CYTO U's last three webinars micro-Manager: Open Source Software for Microscope Image Acquisition by Nico Stuurman, Forensic Flow Cytometry by Jennifer Wilshire, and Standardization of Flow Cytometry Assays: What for? How? Where does it lead us? by Tomáš Kalina at CYTO U.  For more details, visit: http://cytou.peachnewmedia.com.

CYTO University
CYTO University is an online educational resource created by ISAC for its members and the wider cytometry community. In addition to free webinars, CYTO U presents recorded courses and tutorials from the CYTO Conference, and interactive online courses on a variety of cytometry topics. These are available at no cost to ISAC members and for a nominal charge for non-members. Webinars are free for all. Learn more at http://cytou.peachnewmedia.com

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____________________
Kanika F. Pulliam, Ph.D.
Program Coordinator
International Society for Advancement of Cytometry (ISAC)
9650 Rockville Pike
Bethesda, MD 20814
(301) 634-7457
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