BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Core Facilities - ECPv6.15.14//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.med.unc.edu/corefacilities
X-WR-CALDESC:Events for Core Facilities
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250122T130000
DTEND;TZID=America/New_York:20250122T150000
DTSTAMP:20260406T014511
CREATED:20250106T161120Z
LAST-MODIFIED:20250106T161120Z
UID:10000272-1737550800-1737558000@www.med.unc.edu
SUMMARY:Cytek Biosciences ImageLearn Live (UNC Flow Cytometry Core event)
DESCRIPTION:The UNC Flow Cytometry core\, which houses a Cytek ImageStream\, invites you to attend a webinar hosted by Cytek: \n\nWe are excited to invite you to our upcoming ImageLearn Live educational webinar series “Insights Into Amnis® Imaging Flow Cytometry – Basic and Advanced Techniques with the ImageStream® System”. This webinar consists of 2 sessions. \n\nDate: Wednesday\, January 22\, 2025 & Thursday\, January 23\, 2025 \n\nTime: 10:00 AM – 12:00 PM PST / 1:00 PM – 3:00 PM EST \n\nDuration: Each Session is 2 Hours \n\nKey Topics: Sample Acquisition\, Compensation\, Image Analysis\, Machine Learning\, and Data Reporting \n\nSpeakers: Garry Cuneo\, Senior Field Applications Specialist\, and Rich DeMarco\, Senior Field Applications Specialist \n\nRegister Here: https://register.gotowebinar.com/register/5088136736051939930 \n\nWho Should Attend? This webinar is ideal for current as well as prospective users of the Cytek® Amnis® ImageStream® imaging flow cytometer interested in learning more about acquisition and analysis. Key topics discussed in this webinar include a general overview of sample acquisition\, basic data analysis\, and advanced data analysis. The techniques discussed will be applicable across all imaging applications.
URL:https://www.med.unc.edu/corefacilities/event/cytek-biosciences-imagelearn-live-unc-flow-cytometry-core-event/2025-01-22/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250123T130000
DTEND;TZID=America/New_York:20250123T150000
DTSTAMP:20260406T014511
CREATED:20250106T161120Z
LAST-MODIFIED:20250106T161120Z
UID:10000273-1737637200-1737644400@www.med.unc.edu
SUMMARY:Cytek Biosciences ImageLearn Live (UNC Flow Cytometry Core event)
DESCRIPTION:The UNC Flow Cytometry core\, which houses a Cytek ImageStream\, invites you to attend a webinar hosted by Cytek: \n\nWe are excited to invite you to our upcoming ImageLearn Live educational webinar series “Insights Into Amnis® Imaging Flow Cytometry – Basic and Advanced Techniques with the ImageStream® System”. This webinar consists of 2 sessions. \n\nDate: Wednesday\, January 22\, 2025 & Thursday\, January 23\, 2025 \n\nTime: 10:00 AM – 12:00 PM PST / 1:00 PM – 3:00 PM EST \n\nDuration: Each Session is 2 Hours \n\nKey Topics: Sample Acquisition\, Compensation\, Image Analysis\, Machine Learning\, and Data Reporting \n\nSpeakers: Garry Cuneo\, Senior Field Applications Specialist\, and Rich DeMarco\, Senior Field Applications Specialist \n\nRegister Here: https://register.gotowebinar.com/register/5088136736051939930 \n\nWho Should Attend? This webinar is ideal for current as well as prospective users of the Cytek® Amnis® ImageStream® imaging flow cytometer interested in learning more about acquisition and analysis. Key topics discussed in this webinar include a general overview of sample acquisition\, basic data analysis\, and advanced data analysis. The techniques discussed will be applicable across all imaging applications.
URL:https://www.med.unc.edu/corefacilities/event/cytek-biosciences-imagelearn-live-unc-flow-cytometry-core-event/2025-01-23/
END:VEVENT
END:VCALENDAR