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Course Outline
Introduction to Fiji and ImageJ
- Overview of Fiji and its applications in scientific research.
- Understanding ImageJ’s architecture and plugins.
- Installing and setting up Fiji for optimal performance.
Basic Image Processing Techniques
- Image acquisition and import formats.
- Adjusting contrast, brightness, and applying filters.
- Image stacking and projection methods.
Advanced Image Analysis
- Segmentation techniques: thresholding and edge detection.
- Object counting and particle analysis in histological samples.
- Measuring areas, perimeters, and other morphological features.
Working with Biological Samples
- Processing images of histological tissues, blood cells, and algae.
- Color deconvolution and analysis of stained tissues.
- Time-lapse analysis and tracking cell movement.
Automation and Customization
- Creating and running macros for repetitive tasks.
- Using Fiji plugins for specialized analyses.
- Basic scripting with ImageJ Macro Language (IJM).
Data Management and Reporting
- Exporting results and generating reports.
- Annotating images and preparing data for publication.
- Best practices for reproducible image analysis.
Summary and Next Steps
Requirements
- Basic understanding of biological imaging concepts.
- Familiarity with microscopy and histological techniques.
- Basic computer literacy.
Audience
- Researchers in biotechnology and environmental toxicology.
- Laboratory technicians working with histological and cellular imaging.
- Scientists interested in quantitative image analysis.
14 Hours
