Image Processing Workshop

live training

Image Processing Workshop

Target Audience:
VIB PhD Student
VIB Postdoc
VIB Staff Scientist
VIB Technical support
Location:

Online course

General context

Recent years, imaging and image processing has become essential for life scientists dealing with scientific images. In Life science, microscopy and imaging have become more and more important. Imaging has evolved from showing examples images towards quantitative biology. Image processing is playing a crucial role and is becoming a means of quantification in life science.
 

Approach

This course is aiming at the starter level of image processing and will use commonly available tools (ImageJ/FIJI). The course consists of lectures, demos, and practical exercises. The first day will provide an overview of different tools, pitfalls in image acquisition and image/data integrity and will then focus on Fiji from the basics to writing macros. The second day will be used for deepening the knowledge and feature other tools for analyzing large datasets and creating quantitative analysis pipelines. The attendees will be able to use basic image processing tools in between day 1 and 2 of the course and apply the learned concepts to their research.

 

Software demonstrated
Extra information
  • This course is free for all participants
  • This course is not open for industry.
  • Note that upon no show without valid justification you will be blacklisted for the VIB training program for 1 year. Click here for more information.
     

Trainers

Sebastian Munck
VIB Bioimaging Core, Leuven, BE
Benjamin Pavie
VIB Bioimaging Core, BE

Program

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Welcome

Introduction to the tools available - Pitfalls of the acquisition process
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Benjamin Pavie & Sebastian Munck

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Coffee break

Basics of Fiji
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Benjamin Pavie & Sebastian Munck

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Lunch break

Open Discussion: Code of Conduct
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Sebastian Munck

Lecture: recent developments
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Sebastian Munck

Q&A
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Benjamin Pavie & Sebastian Munck

Going further with Fiji - introduction to macro scripting and breaks
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Benjamin Pavie & Sebastian Munck