Image Analysis Methods for Biologists

Improve your image analysis knowledge and ability to analyse your images

The use of automatic image analysis in the biological sciences has increased significantly in recent years, especially with automated image capture and the rise of phenotyping.

This online course will help improve your understanding of image analysis methods, and improve your practical skills and ability to apply the techniques to your images.

You will explore the process of image acquisition, through to segmenting regions, counting objects and tracking movement. Importantly, we’ll also try to highlight what to watch out for when using different image analysis approaches.

This course is designed for postgraduate and postdoctoral researchers in biological sciences.

The use of automatic image analysis in the biological sciences has increased significantly in recent years, especially with automated image capture and the rise of phenotyping.

This online course will help improve your understanding of image analysis methods, and improve your practical skills and ability to apply the techniques to your images.

Development and delivery of this course is supported by Biotechnology and Biological Sciences Research Council Training Grant BB/P011845/1 Image Analysis for Biologists: An Online Course.

The course and practicals refer to the open-source Fiji software (http://fiji.sc/). To use this you will need a computer (rather than a tablet or smartphone). Please see installation instructions at the Fiji website.

• Introduction to images and image analysis
• The image analysis problem
• Noise, and noise reduction
• Measuring from images
• Measuring for phenotyping
• An introduction to coding
• Segmentation: labelling regions in images
• Pixel-based segmentation
• Region-based segmentation
• Model-based segmention
• What next?
• 3D models from 2D images
• Motion and growth
• AI based approaches: Deep learning