Fluorescence Lifetime Imaging Course 2020 with Videos Online
The Beginners Guide to Fluorescence Lifetime Imaging (FLIM) in Life Science...
...took place on November 23rd to 27th 2020 via Zoom. The online FLIM symposium (conference web site) was co-organized by CMCB Light Microscopy Facility of Technische Universität Dresden, Imaging Network of WWU Münster, Center of Advanced Imaging of HHU Düsseldorf University and the Core Facility Bioimaging at the Biomedical Center of the Ludwig-Maximilians-Universität München and as an activity within the GermanBioimaging Network.
The lectures (L1-L10) were live and online while the hands-on sessions (WS1 - WS10) were combinations of interactive sessions at the microscope and respective recorded videos. There, the experts showcased further developments in the field, and explained how FLIM contributes to take their research to the next level.
Our aim was to address the applications of FLIM microscopy in life science and discuss the tips and tricks in FLIM data analysis and data acquisition.
Lectures and hands-on session can all be found in this
The first video, the introduction, is embedded below, as are the two videos that were created at our Core Facility Bioimaging.
List of lectures
- L0 - Opening. Ali Gheisari, Technische Universität Dresden
- L1 - Introduction to Fluorescence Lifetime Imaging Microscopy (FLIM). Stefanie Weidtkamp-Peters, Heinrich-Heine-Universität Düsseldorf, Germany
- L2 - Application of Förster Resonance Energy Transfer (FRET) in plant biology. Dr Yvone Stahl, Heinrich-Heine-Universität Düsseldorf, Germany
- L3 - Piconewton-sensitive biosensors to investigate molecular forces in cells. Carsten Grashoff, Westfälische Wilhelms-Universität Münster, Germany
- L4 - Live cell imaging of biochemical networks and cellular decisions. Alessandro Esposito, University of Cambridge, United Kingdom
- L5 - Spectral FLIM (Multiplexing). Sumeet Rohilla, Charité-Universitätsmedizin Berlin
- L6 - Wide-field FLIM by Single Photon Counting with LINCam. André Weber, Yury Prokazov, Photonscore GmbH, Germany
- L7 - Frequency-domain Fluorescence Lifetime Imaging Microscopy. Gerhard Holst, PCO AG, Germany
- L8 - Investigation of Drug Cellular Uptake in Prostate Cancer Cells: Two-photon FLIRR Microscopy. Ammasi Periasamy, University of Virginia, USA
- L9 - Analysis of FLIM data. Rupsa Datta, Morgridge Institute of Research, USA
- L10 - Simultaneous Metabolic FLIM and Oxygen PLIM (Phosphorescence LIfetime Imaging) in Biomedical Research. Angelika Rück, Universität Ulm, Germany, and Woflgang Becker, Becker & Hickl GmbH, Germany
List of Hands-on Sessions
- WS1 - FRET application in plant biology. Stefanie Weidtkamp-Peters and Yvone Stahl, Heinrich-Heine-Universität Düsseldorf, Germany.
- WS2 - FRET-based tension biosensors. Carsten Grashoff, WWU Münster, Germany.
- WS3 - FLIM application in environmental sensing. Astrid Tannert, Jena Biophotonics and Imaging Laboratory (JBIL), Germany, and Fabian Jolmes, PicoQuant GmbH, Germany.
- WS 4 - Component seperation by means of lifetime measurement. Mariano Gonzalez Pisfil, LMU München, Germany
- WS 5 - Tau-STED - application of lifetime measurement in super-resolution microscopy. Steffen Dietzel and Mariano Gonzalez Pisfil, LMU München, Germany, and Daniel Smeets, Leica Microsystems, Germany.
- WS 6 - Label-free FLIM - Studying the cellular metabolism by NADH autofluorescence FLIM. Ali Gheisari and Cornelia Wetzker, Technische Universität Dresden, Germany.
- WS7 - Data analysis in depth I - SymPhoTime 64 (PicoQuant). Benedikt Krämer and Maria Loidolt-Krüger, PicoQuant GmbH, Germany.
- WS 8 - Data analysis in depth II - Phassor analysis with LAS X (Leica Microsystems). Giulia Ossato, Leica Microsystems, Germany.
- WS9 - Open source FLIM data analysis. Ali Gheisari, Technische Universität Dresden, Germany.
DSGVO-Hinweis zu den folgenden Videos: (data protection note on the following videos)
Zum Aktivieren muss der Link betätigt werden. Wir möchten darauf hinweisen, dass nach der Aktivierung die Internetseite der LMU verlassen wird und Daten an YouTube oder entsprechende Anbieter übermittelt werden können. Die Nutzung erfolgt außerhalb des Verantwortungsbereichs der LMU bzw. der Einrichtung.
Video above: L0 - Introduction
Video above: WS4 - Component separation by means of lifetime measurement
Video above: WS5 - Tau-STED - application of lifetime measurement in super-resolution microscopy
