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Course Outline

Introduction to Fiji and ImageJ

  • An overview of Fiji and its key applications in scientific research.
  • An examination of ImageJ’s architecture and plugin ecosystem.
  • Proper installation and configuration of Fiji for optimal performance.

Essential Image Processing Techniques

  • Managing image acquisition and supported import formats.
  • Adjusting contrast and brightness, as well as applying essential filters.
  • Techniques for image stacking and projection methods.

Advanced Image Analysis

  • Segmentation strategies, including thresholding and edge detection.
  • Object counting and particle analysis specifically for histological samples.
  • Measurement of morphological features such as areas and perimeters.

Handling Biological Samples

  • Processing images of diverse specimens, including histological tissues, blood cells, and algae.
  • Applying color deconvolution and analyzing stained tissue samples.
  • Conducting time-lapse analysis to track cell movement.

Automation and Customization

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

Data Management and Reporting

  • Exporting analytical results and generating professional reports.
  • Annotating images and formatting data for publication.
  • Adopting best practices for maintaining reproducible image analysis workflows.

Requirements

  • A foundational understanding of biological imaging principles.
  • Practical familiarity with microscopy and histological preparation techniques.
  • Basic computer operating skills.

Target Audience

  • Researchers working in biotechnology and environmental toxicology.
  • Laboratory technicians specializing in histological and cellular imaging.
  • Scientists seeking to enhance their quantitative image analysis capabilities.
 14 Hours

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