Course overview
Image Analysis Using ImageJ is a beginner-friendly course that teaches the basics of image analysis in ImageJ/Fiji. You will learn how to set up an image analysis workflow, choose appropriate parameters, and interpret your outputs to generate reliable data.
The course is designed for life scientists who want hands-on experience working with biological images from initial setup through to analysis.
Enroll for free nowWhat you will learn
- How to get started with ImageJ/Fiji for image analysis.
- How to add and calibrate a scale bar.
- How to make composite images and Z-projects in ImageJ/Fiji.
- How to measure and intensity and density from biological images.
- How to perform global and adaptive thresholding.
- How to normalize intensity to background.
- How to record and set up your own automated scripts (macros)
- How to avoid common pitfalls in image-based data analysis.
Frequently asked questions
Do I need prior experience with ImageJ or Fiji?
No. This course is designed for beginners and introduces the basics of image analysis step by step.
What software will I use in the course?
The course focuses on ImageJ/Fiji, a widely used open-source platform for image analysis in the life sciences.
What kind of skills will I learn?
You will learn how to set up analyses, select suitable parameters, quantify image features, and interpret outputs for reliable data analysis.
Who is this course suitable for?
It is built for life scientists, students, and researchers who want a hands-on introduction to image analysis using ImageJ/Fiji.