This course will provide a comprehensive understanding of image processing, analysis and quantification using Fiji. It is designed for scientists working with biological or biomedical image data.
Image processing & analysis with ImageJ/Fiji
Study description
This 3-day hands-on course will provide an in-depth introduction to bioimage analysis with Fiji. Participants will learn core features of the software as well as fundamental concepts of image processing and analysis. In addition, we will cover useful tools tailored for cell biology applications, and finish with an introduction to ImageJ macro writing for automating analysis.
The course is intended for PhD students interested in image processing and analysis, particularly those working with microscopy data in biological and medical contexts. No prior experience with ImageJ/Fiji and image analysis knowledge is required. You will need to bring a laptop. A mouse is highly preferable.
Key topics
• Getting started with Fiji (installation, opening microscopy format images, plugins)
• Image basics (pixels, image types, histogram, colors, stacks)
• Creating multi-panel, publication-ready figures
• Image processing (background subtraction, feature enhancement)
• 3D visualization
• Quantification (segmentation, intensity measurements, cell counting)
• Automating your analysis with ImageJ macros
• Work on your own data (if time permits)
By the end of this course, participants will have a broad understanding of ImageJ/Fiji’s capabilities, empowering them to tackle a wide range of image analysis tasks in their research.
Study Characteristics
External course: Image processing & analysis with ImageJ/Fiji – OOA – Oncology Graduate School Amsterdam
Roster/schedule info: May 13, 20 and 27
Deadline Registration: March 31
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Study description & characteristics
Study description
This 3-day hands-on course will provide an in-depth introduction to bioimage analysis with Fiji. Participants will learn core features of the software as well as fundamental concepts of image processing and analysis. In addition, we will cover useful tools tailored for cell biology applications, and finish with an introduction to ImageJ macro writing for automating analysis.
The course is intended for PhD students interested in image processing and analysis, particularly those working with microscopy data in biological and medical contexts. No prior experience with ImageJ/Fiji and image analysis knowledge is required. You will need to bring a laptop. A mouse is highly preferable.
Key topics
• Getting started with Fiji (installation, opening microscopy format images, plugins)
• Image basics (pixels, image types, histogram, colors, stacks)
• Creating multi-panel, publication-ready figures
• Image processing (background subtraction, feature enhancement)
• 3D visualization
• Quantification (segmentation, intensity measurements, cell counting)
• Automating your analysis with ImageJ macros
• Work on your own data (if time permits)By the end of this course, participants will have a broad understanding of ImageJ/Fiji’s capabilities, empowering them to tackle a wide range of image analysis tasks in their research.
Study Characteristics
External course: Image processing & analysis with ImageJ/Fiji – OOA – Oncology Graduate School Amsterdam
Roster/schedule info: May 13, 20 and 27
Deadline Registration: March 31
Want to know more?
Don't hesitate to contact us
International diploma applicants
Contact
- Tim de Wit
- International Student Advisor
- Faculty of Medicine VU
- masters.vumc@vu.nl
