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Duration 14 hours (2 days)
Course Outline
Introduction to Fiji and ImageJ
- An overview of Fiji and its role in scientific investigations
- Exploring 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, brightness, and applying filters
- Methods for image stacking and projection
Advanced Image Analysis
- Segmentation techniques: thresholding and edge detection
- Counting objects and performing particle analysis on histological samples
- Quantifying 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 tissue sections
- Time-lapse analysis and tracking cell movement
Automation and Customization
- Writing and executing macros to handle repetitive tasks
- Leveraging Fiji plugins for specialized analytical needs
- 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
Audience
- Researchers in the fields of biotechnology and environmental toxicology
- Laboratory technicians specializing in histological and cellular imaging
- Scientists seeking to advance their skills in quantitative image analysis
