301273 VO+UE Live imaging course (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 08.09.2022 14:00 bis Do 22.09.2022 18:00
- Abmeldung bis Do 22.09.2022 18:00
Details
max. 12 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
VORBESPRECHUNG/PRELIMINARY MEETING:
Josef Gotzmann is inviting you to a scheduled Zoom meeting.
Topic: Preliminary Meeting Live Imaging Course WS22-23
Time: Oct 12, 2022 11:00 AM Vienna
Join Zoom Meeting
https://univienna.zoom.us/j/63765981963?pwd=aTdReWxqdis2TnlEdHRQMkR2UGFFQT09
Passcode: 496596Attendance at the preliminary meeting is MANDATORY, since we expect more people to become registered for the course than seats are available!The course will be held February 7th-9th, 2023 - full day 9.30-17.30.
Location: Campus Vienna Biocenter; Building VBC5, Level E1.
The schedule will be available at Moodle: https://moodle.univie.ac.at/course/view.php?id=328475
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Continuous Assessment
Mindestanforderungen und Beurteilungsmaßstab
Students shall learn the theoretical background of imaging in a live regimen. This includes knowledge on instrumental and technological theory, combined with considerations on practical do's and don'ts. The latter shall finally be applied in extended practical hands-on-sessions using different live microscopy setups. Eminently important is to prepare students for handling the data with respect to size, processing and analyses.
Prüfungsstoff
a. Students will understand the theory behind basic and advanced light microscopy technologies
b. Students will get a deeper insight into the applicative potential of diverse light microscopy techniques for live imaging
c. Students will learn to transfer knowledge on microscopy hardware and fluorescent molecule selection into an experimental realization
d. Students will learn to critically review, troubleshoot and/or optimize live imaging experiments
e. Students will learn and work in cooperative teams
f. Students will get a comprehensive picture by being introduced into data management
b. Students will get a deeper insight into the applicative potential of diverse light microscopy techniques for live imaging
c. Students will learn to transfer knowledge on microscopy hardware and fluorescent molecule selection into an experimental realization
d. Students will learn to critically review, troubleshoot and/or optimize live imaging experiments
e. Students will learn and work in cooperative teams
f. Students will get a comprehensive picture by being introduced into data management
Literatur
Yuste, Live Imaging; A Laboratory manual; CSHL-Press, 2010Helmchen et al., Imaging in Neuroscience-A Laboratory Manual; CSHL Press, 2011Sharpe, Imaging in Developmental Biology – A Laboratory manual; CSHL-Press, 2011Goldman, Swedlow, Spector: Live Cell Imagign-A Laboratory manual; CSHL Press 2009www.fpbase.orghttps://www.ibiology.org/talks/live-cell-imaging/http://www.microscopyu.com/https://www.olympus-lifescience.com/de/microscope-resource/http://zeiss-campus.magnet.fsu.edu/index.htmlhttp://www.leica-microsystems.com/science-lab/https://www.rms.org.uk/resources-downloads/online-microscopy-talks.html
Zuordnung im Vorlesungsverzeichnis
MMEI III, MMB W-2, WZB, PhD (SPL 56)
Letzte Änderung: Mo 22.08.2022 11:30
The Live Imaging workshop intends to give students a theoretical and practical input on important considerations of live imaging using advanced light microscopic technologies, like confocal, spinning disc, fluorescence widefield, high-content and even superresolution imaging microscopy.
Two basic lectures:
- Lecture 1: Live Imaging Considerations
- Lecture 2: Live Imaging Dyes and FluorophoresExtensive hands-on planning of overnight and individual shorter time lapse experiments using various available microscope setups.
An afternoon is dedicated to give expert advice on how to handle live imaging data - this will include selected examples as well as insight into advanced processing pipelines, including aspects of Artificial Intelligence.