Dear all,
A correction: the talk is scheduled for 12:20, as planned originally. The meeting time in the previous email was wrong.
Apologies for the confusion. Misha.
On 3 March 2022 08:51:03 CET, tyomkyn tyomkyn@kam.mff.cuni.cz wrote:
Reminder: this is today. Please find the zoom meeting details below.
Mykhaylo Tyomkyn is inviting you to a scheduled Zoom meeting.
Topic: Noon seminar Time: Mar 3, 2022 02:00 PM Budapest
Join Zoom Meeting https://cesnet.zoom.us/j/98163194532?pwd=VDFMbG5hdmZxVTRuckZiL2FTMnYvQT09
Meeting ID: 981 6319 4532 Passcode: 697354 One tap mobile +420228882388,,98163194532# Czech Republic +420239018272,,98163194532# Czech Republic
Dial by your location +420 2 2888 2388 Czech Republic +420 2 3901 8272 Czech Republic +420 5 3889 0161 Czech Republic Meeting ID: 981 6319 4532 Find your local number: https://cesnet.zoom.us/u/ad9zWV0KOA
On 2022-02-28 17:45, tyomkyn wrote:
Dear all,
This week's noon seminar will (exceptionally) be via zoom. I will send out the meeting room information on Thursday morning. Please find the talk details below.
Kind regards, Misha.
Automated Feature Extraction from Large Cardiac Electrophysiological Data Sets Peter Hinow University of Wisconsin - Milwaukee March 3, 2022, 12:20 in Zoom
Abstract A new multi-electrode array-based application for the long-term recording of action potentials from electrogenic cells makes possible exciting cardiac electrophysiology studies in health and disease. With hundreds of simultaneous electrode recordings being acquired over a period of days, the main challenge becomes achieving reliable signal identification and quantification. We set out to develop an algorithm capable of automatically extracting regions of high-quality action potentials from terabyte size experimental results and to map the trains of action potentials into a low-dimensional feature space for analysis. Our automatic segmentation algorithm finds regions of acceptable action potentials in large data sets of electrophysiological readings. We use spectral methods and support vector machines to classify our readings and to extract relevant features. We are able to show that action potentials from the same cell site can be recorded over days without detrimental effects to the cell membrane. The variability between measurements 24 h apart is comparable to the natural variability of the features at a single time point. Our work contributes towards a non-invasive approach for cardiomyocyte functional maturation, as well as developmental, pathological, and pharmacological studies. As the human-derived cardiac model tissue has the genetic makeup of its donor, a powerful tool for individual drug toxicity screening emerges.
This is joint work with Stacie Kroboth, Viviana Zlochiver (Advocate Aurora Health) and John Jurkiewicz (UWM).
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