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Course Outline
Introduction to Fiji and ImageJ
- Exploring Fiji and its key applications in scientific inquiry
- Examining 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 image filters
- Techniques for image stacking and projection
Advanced Image Analysis
- Segmentation methodologies: thresholding and edge detection
- Object enumeration and particle analysis within histological samples
- Quantifying areas, perimeters, and other morphological characteristics
Working with Biological Samples
- Processing imagery of histological tissues, blood cells, and algae
- Color deconvolution methods for analyzing stained tissues
- Time-lapse analysis and tracking cellular dynamics
Automation and Customization
- Developing and executing macros to automate repetitive processes
- Leveraging Fiji plugins for specialized analytical tasks
- Foundational scripting using the ImageJ Macro Language (IJM)
Data Management and Reporting
- Exporting data and compiling comprehensive reports
- Annotating images and formatting data for publication
- Establishing best practices for reproducible image analysis
Requirements
- A foundational grasp of biological imaging principles
- Practical familiarity with microscopy and histological methodologies
- Essential computer proficiency
Target Audience
- Researchers specializing in biotechnology and environmental toxicology
- Laboratory technicians engaged in histological and cellular imaging
- Scientists seeking to develop competencies in quantitative image analysis
14 Hours
