The Advanced Digital Microscopy Core Facility is organising a 11-hours course on Advanced Optical and Fluorescence Microscopy, including Image Analysis.
Presentation
Speakers/Trainers: Lídia Bardia, Anna Lladó, Nikolas Giakoumakis, Sébastien Tosi and Julien Colombelli
Organiser: Advanced Digital Microscope Core Facility, IRB Barcelona
Date: 3 May (12:00-14:00), 5 May (15:00-17:30), 10 May (12:00-14:00), 12 May (15:00-17:30), & 17 May (12:00-14:00)
Place: Fèlix Serratosa Room (Cluster I Building)
Audience: This course is directed at PhD students, postdocs and researchers from IRB Barcelona and institutions at the PCB. Attendance is strongly recommended for 1st year PhD students at IRB Barcelona. Note that these students have a guaranteed place on the course.
This course offers 60 places. It is directed at PhD students, postdocs and researchers from IRB Barcelona and institutions at the PCB. Attendance is strongly recommended for 1st year PhD students. Note that these students have a guaranteed place on the course.
To register, please fill out the following Google form.
Note that participants must attend all 5 sessions.
If you are registered and finally cannot attend, please send us an e-mail in order to give others the opportunity.
Programme
PRELIMINARY PROGRAMME
Day 1 – 3 May 12:00-14:00 Image formation and 3D imaging principles
Image Formation, Photophysics, & Fluorescence
3D imaging modalities
Confocal, multiphoton & SHG, spinning disk, & hyperspectral imaging
Day 2 – 5 May 15:00-17:30 Nano-Scale & Molecular Imaging
F-techniques for molecular scale behaviour: FRET/FLIM/FRAP
Super Resolution / Nanoscopy
Structured Illumination (SIM), Image Scanning Microscopy (e.g. Airyscan), STORM alike (Single Molecule Localization Microscopy), Expansion Microscopy, & Correlative
Light-Electron Microscopy (CLEM)
Day 3 – 10 May 12:00-14:00 Meso-scale and High-content
Lightsheet Microscopy: modalities & applications
Optical clearing for large samples/organs
High-Content Imaging/High-Throughput Screening
Intelligent Imaging
Day 4 – 12 May 15:00-17:30 Bioimage Analysis, part I
Introduction to Bioimage Analysis (BIA), applications overview
Bioimage Analysis software and workflows
Image analysis fundamentals
Selected example projects & workflows
Day 5 – 17 May 12:00-14:00 Bioimage Analysis, part II
Practical Introduction to ImageJ / Fiji
Image Deconvolution
Stitching/visualization of large images
Machine learning, Deep Learning
Please visit the following link for more detailed information about the programme.
Speakers
Speakers/Trainers: Lídia Bardia, Anna Lladó, Nikolas Giakoumakis, Sébastien Tosi and Julien Colombelli