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Course Outline
Introduction to Fiji and ImageJ
- An overview of Fiji and its role in scientific investigation
- Exploring the architecture of ImageJ and its plugin ecosystem
- Installing and configuring Fiji for peak performance
Basic Image Processing Techniques
- Image acquisition and management of various import formats
- Modifying contrast and brightness, and applying specific filters
- Methods for image stacking and projection
Advanced Image Analysis
- Segmentation methods, including thresholding and edge detection
- Counting objects and analyzing particles within histological samples
- Quantifying areas, perimeters, and other morphological characteristics
Working with Biological Samples
- Processing imagery from histological tissues, blood cells, and algae
- Performing color deconvolution and analyzing stained tissue samples
- Conducting time-lapse analysis and tracking cellular movement
Automation and Customization
- Developing and executing macros to handle repetitive tasks
- Leveraging Fiji plugins for specialized analytical procedures
- Introduction to scripting using the ImageJ Macro Language (IJM)
Data Management and Reporting
- Exporting analytical results and generating comprehensive reports
- Annotating images and formatting data for publication
- Adhering to best practices for ensuring reproducible image analysis
Requirements
- A foundational understanding of biological imaging principles
- Working knowledge of microscopy and histological methods
- General computer literacy
Intended Audience
- Researchers specializing in biotechnology and environmental toxicology
- Laboratory technicians engaged in histological and cellular imaging
- Scientists seeking to advance their skills in quantitative image analysis
14 Hours
