Fiji: Image Processing for Biotechnology and Toxicology Training Course

Introduction to Fiji and ImageJ

• Exploring the scope and practical applications of Fiji in scientific research.
• An overview of ImageJ’s underlying architecture and plugin ecosystem.
• Installation processes and configuration strategies for peak performance.

Foundational Image Processing Techniques

• Managing image acquisition and various import formats.
• Optimizing visual quality through contrast and brightness adjustments and filter application.
• Techniques for image stacking and projection methods.

Advanced Image Analysis Methodologies

• Implementing segmentation strategies, including thresholding and edge detection.
• Conducting object counting and particle analysis within histological samples.
• Quantifying morphological features such as areas, perimeters, and shape metrics.

Application to Biological Samples

• Processing datasets from histological tissues, blood cells, and algae.
• Performing color deconvolution for the analysis of stained tissue samples.
• Analyzing time-lapse sequences and tracking cellular movement dynamics.

Workflow Automation and Customization

• Developing and executing macros to automate repetitive tasks.
• Leveraging Fiji plugins for specialized analytical functions.
• Introduction to scripting using ImageJ Macro Language (IJM).

Data Management and Reporting Standards

• Efficiently exporting analytical results and generating comprehensive reports.
• Annotating images and formatting data for scientific publication.
• Adhering to best practices for ensuring reproducibility in image analysis.