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Duration 14 hours
Course Outline
Introduction to Fiji and ImageJ
- An overview of Fiji and its key applications in scientific research
- Understanding the architecture of ImageJ and its plugin ecosystem
- Installing and configuring Fiji for optimal performance
Basic Image Processing Techniques
- Image acquisition and supported import formats
- Adjusting contrast and brightness, as well as applying filters
- Image stacking and projection methods
Advanced Image Analysis
- Segmentation techniques, including thresholding and edge detection
- Object counting and particle analysis specifically for 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 the analysis of stained tissues
- Time-lapse analysis and tracking cell movement
Automation and Customization
- Developing and executing macros to handle repetitive tasks
- Leveraging Fiji plugins for specialized analysis tasks
- Basic scripting using the ImageJ Macro Language (IJM)
Data Management and Reporting
- Exporting results and generating comprehensive reports
- Annotating images and preparing data for publication
- Best practices for ensuring reproducible image analysis
Requirements
- A foundational understanding of biological imaging concepts
- Familiarity with microscopy and histological techniques
- Basic computer literacy
Target Audience
- Researchers specializing in biotechnology and environmental toxicology
- Laboratory technicians engaged in histological and cellular imaging
- Scientists seeking to enhance their skills in quantitative image analysis
