Microscopy Image Analysis and Quantification Using MATLAB

About this Class

This one hour online training introduces participants to the tools and techniques for analyzing and quantifying microscopy images using MATLAB’s low-code algorithms. Participants will learn how to preprocess images, segment regions of interest, and extract quantitative data from whole slide images. The session demonstrates resources for automating workflows, enhancing reproducibility, and handling large datasets typical in microscopy studies. Practical examples, such as cell counting, measuring fluorescence intensity, and detecting morphological changes, will be provided. This training is ideal for researchers and data scientists involved in image-based analysis in biology, medicine, or materials science.

By the end of this training, attendees will be able to:

• Preprocess images, including filtering, background subtraction, and contrast enhancement, to prepare for analysis
• Perform image segmentation to identify regions of interest, such as cells or organelles, using techniques like thresholding and edge detection
• Quantify key metrics from microscopy images, such as cell count, fluorescence intensity, and area measurements
• Automate image analysis workflows to handle large datasets efficiently and reproducibly

No prior experience with MATLAB is required, but basic familiarity with image processing is recommended.