Seminar series “fluorescence microscopy”
We provide an introduction into different instruments and methods for fluorescence microscopy – starting with the preparation of samples as well as basic functions and instrument settings up to characteristics in the technical design of special microscopes. The techniques covered include fluorescence recovery after photobleaching (FRAP), fluorescence resonance energy transfer (FRET) and fluorescence-lifetime imaging microscopy (FLIM), super-resolution methods such as stimulated emission depletion (STED) and single molecule localization microscopy (SMLM), and single particle tracking. Everyone working at Münster University, and especially master and doctoral students, are welcome to participate!
Topics and dates
On Thursdays, 12:00 to 13:00 p.m.
Speaker: Thomas Zobel, Coordinator Microscopy – Imaging Network
Our meetings are currently held online via Zoom. The log-in information below is valid for all upcoming events of this seminar series.
https://wwu.zoom.us/j/69977678482?pwd=eHgwdmNacFI3bzV0RU1IUGU2TkNXQT09
Meeting-ID: 699 7767 8482
Kenncode: 145159
| Date | Topics |
|---|---|
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Previous topics and dates
Date, time and place Topics 19.05.2022
12:00-13:00
Online seminarSuper-resolution microscopy II
Single molecule localization microscopy (SMLM, e.g. STORM, PALM, DNA-PAINT), single particle tracking12.05.2022
12:00-13:00
Online seminarSuper-resolution microscopy I
SIM, STED, MINFLUX, sample preparation05.05.2022
12:00-13:00
Online seminarAdvanced fluorescence microscopy II
Deconvolution (Huygens), Airyscan (Zeiss), Lightning (Leica), deep learning approaches (N2V / CARE)07.04.2022
12:00-13:00
Online seminarAdvanced fluorescence microscopy I
FRAP, FRET, FLIM, spectral unmixing24.03.2022
12:00-13:00
Online seminarResearch data management for microscopy data
OMERO, data storage, analysis server17.03.2022
12:00-13:00
Online seminarBasics of fluorescence microscopy II
Confocal laser scanning microscopes, beampath, detectors (PMT, HyD, GaAsp), signal to noise ratio, tips for live cell imaging, sample preparation10.03.2022
12:00-13:00
Online seminarBasics of fluorescence microscopy I
Wild field systems, point spread function, numerical aperture of an objective, resolution (raylight, FWHM, Abbe diffraction limit), different kinds of fluorophores03.03.2022
12:00-13:00
Online seminarMünster Imaging Network – Services & Microscopy Systems
Overview about the services of the Imaging Network and the available microscopy systems (database & data storage, analysis server, image analysis and more)12.03.2021
12:00-12:45
Online seminarRDM4Mic
Research data management for microscopy, OMERO, data storage, analysis server26.02.2021
12:00-12:45
Online seminarSuper-resolution microscopy II
Single molecule localization microscopy (SMLM, e.g. STORM, PALM, DNA-PAINT), single particle tracking12.02.2021
12:00-12:45
Online seminarSuper-resolution microscopy I
SIM, STED, MINFLUX, sample preparation29.01.2021
12:00-12:45
Online seminarAdvanced fluorescence microscopy II
Deconvolution (Huygens), Airyscan (Zeiss), Lightning (Leica), deep learning approaches (N2V / CARE)15.01.2021
12:00-12:45
Online seminarAdvanced fluorescence microscopy I
FRAP, FRET, FLIM, spectral unmixing04.12.2020
12:00-12:45
Online seminarBasics of fluorescence microscopy II
Confocal laser scanning microscopes, beampath, detectors (PMT, HyD, GaAsp), signal to noise ratio, tips for live cell imaging, sample preparation06.11.2020
12:00-12:45
Online seminarBasics of fluorescence microscopy I
Wild field systems, point spread function, numerical aperture of an objective, resolution (raylight, FWHM, Abbe diffraction limit), different kinds of fluorophores23.10.2020
12:00-12:45
Online seminarMicroscopy – what’s at hand at Münster University?
Different microscopy systems, services (OMERO/analysis server), image analysis, provided software, examples of methods from different groups
Workshops “Image Processing”
Trainer: Thomas Zobel, Coordinator Microscopy – Imaging Network
The number of participants is limited to ten people per workshop. Please send your registration request to cim@uni-muenster.de indicating your name and institution.
Our workshops will be held online via Zoom. We will work remotely on our analysis server and ideally you work with one large or two monitors. No further technical preparations are necessary in advance.
| Date, time and place | Topics |
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| currently no dates available |
Previous topics and dates
Date, time and place Topics 01.-02.03.2022
9:00-16:00
Online workshopImage processing with advanced image analysis software & tools
Topics: overview and short introductions to advanced Fiji plugins, open source software (Ilastik/Cellprofiler) as well as purchased software available at Münster University like Imaris (3D Analysis) and Huygens Professional (deconvolution & general image restoration)
No prerequisites for participation.22.-23.02.2022
9:00-16:00
Online workshopImage processing with Fiji/ImageJ – Advanced course (macro programming)
Topics: detailed lecture about ImageJ macro language, step-by-step programming tutorial, open to discuss and write own macros
Important: Participation in our Fiji/ImageJ beginner course or the Biovoxxel ImageJ/Fiji course, or detailed knowledge of Fiji/first experiences with macros or other programming languages is required.15.-16.02.2022
9:00-16:00
Online workshopImage processing with Fiji/ImageJ – Course for beginners
For all scientists who work with microscopes and microscopic images! At the end of the course, you will be able to analyse your images in an automated and unbiased way and to prepare your images for scientific figure creation.
Topics: basic image acquisition and image processing, image histogram and bit depth, image enhancements (background subtraction/using filters for further analysis), image segmentation (e.g. counts of nuclei, creation of regions of interest), (ROI) etc., automated object counting, measurements (e.g. signal quantifications), create figures (split channels, projections, scale bar, annotations), macro recorder and batch processing08.-09.02.2022
9:00-16:00
Online workshopImage processing with Fiji/ImageJ – Course for beginners
For all scientists who work with microscopes and microscopic images! At the end of the course, you will be able to analyse your images in an automated and unbiased way and to prepare your images for scientific figure creation.
Topics: basic image acquisition and image processing, image histogram and bit depth, image enhancements (background subtraction/using filters for further analysis), image segmentation (e.g. counts of nuclei, creation of regions of interest), (ROI) etc., automated object counting, measurements (e.g. signal quantifications), create figures (split channels, projections, scale bar, annotations), macro recorder and batch processing
