Tutorials on advanced topics in microscopy image analysis
This course consists of a series of tutorials, each of which lasts 2~3 hours in an afternoon and focuses on one particular topic (including theoretical and practical aspects) in microscopy image analysis.
The topics are 1) Image Registration (on 28 Nov) , 2) Tracking (on 30 Nov), 3) Segmentation (on 06 Dec), 4) Colocalization (on 07 Dec) and 5) Deconvolution (on 20 Nov).
Prerequisites
The tutorials are suitable for PhD/Master students and researchers in life sciences.
Basic knowledge of bioimage analysis (using ImageJ) is helpful but not mandatory.
Note: we provide a short course for an introduction to image analysis starting 30 minutes right before each tutorial (except for the tutorial "deconvolution"), which you can attend only if you are interested.
Registration
The course is free of charge, but a registration is compulsory. Each tutorial will be limited to 20 participants in the order of registration (first-come first-served). (Note: maximum 5 for the tutorial "Deconvolution".)
Please fill out the registration form here.
Agenda
1. Deconvolution
Time: 20 Nov 2018, Tuesday, 11:30 - 13:00. (Joint course with "BioImage Analysis using NIS-Elements". No brief introduction to image analysis basics before the tutorial.)
Venue: BioQuant (INF 267), ground floor, CIP Pool
Contents: Image filtering (convolution), deconvolution (concepts, difficulties, popular methods, common software tools, requirements, ...)
2. Image Registration
Time: 28 Nov 2018, Wednesday, 15:00 - 17:00. (A brief introduction to image analysis basics starts at 14:30)
Venue: BioQuant (INF267), ground floor, Room 044
Contents: big images, rigid and non-rigid registration, motion analysis.
3. Tracking
Time: 30 Nov 2018, Friday, 15:00 - 17:00. (A brief introduction to image analysis basics starts at 14:30)
Venue: BioQuant (INF267), ground floor, Room 043
Contents: object tracking and particle tracking.
4. Segmentation
Time: 06 Dec 2018, Thursday, 15:00 - 17:00. (A brief introduction to image analysis basics starts at 14:30)
Venue: BioQuant (INF267), ground floor, Room 043
Contents: typical image segmentation problems other than pixel classification.
5. Co-localization
Time: 07 Dec 2018, Friday, 15:00 - 17:00. (A brief introduction to image analysis basics starts at 14:30)
Venue: BioQuant (INF267), ground floor, Room 043
Contents: visualising co-localization; quantifying co-localisation: intensity correlation-based and object-based.
Course materials
Slides: 1) deconvolution, 2) registration, 3) tracking, 4) segmentation, 5) co-localization.
