Introduction to Image Analysis

Details

October 17^th - 10am-3pm

Training Room, Chester Beatty Labs, 237 Fulham Road.

Summary

Targeted at those new to image analysis. No experience whatsoever is required.

Applicable to any microscopy method in use at the ICR.

The course will cover some of the fundamentals of image analysis, using examples in the popular open-source software - ImageJ.

The focus will be on general image analysis principles which can be applied in any software package. Many of the example images will be from microscopy, but the principles are applicable to any imaging modality.

Aims

• Allow those new to microscopy to feel comfortable carrying out basic image analysis independently.
• To provide a starting point for the more advanced image analysis methods that are becoming necessary in many areas of biomedical science.

Contents

• ImageJ/FIJI
• Histograms, thresholding & segmentation
• Smoothing & background subtraction
• Morphological operators (erosion, dilation, opening, closing)
• Watershed
• Gradients & edge detection
• Boolean algebra (AND, NOT, OR, XOR)
• Deconvolution
• Advanced segmentation using machine learning
• Object measurement
• ImageJ automation & macros
• Experiment planning
• Analysis as a method (e.g. super resolution microscopy)

Further information

More information is available on the main ICR image analysis page