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Course Outline

Introduction to Fiji and ImageJ

  • An overview of Fiji and its specific applications in scientific research
  • Understanding the architecture of ImageJ and its plugin ecosystem
  • Installation and configuration of Fiji for optimal performance

Basic Image Processing Techniques

  • Image acquisition and supported import formats
  • Adjusting contrast and brightness, as well as applying various filters
  • Techniques for image stacking and projection

Advanced Image Analysis

  • Segmentation techniques, including thresholding and edge detection
  • Object counting and particle analysis within histological samples
  • Measuring areas, perimeters, and other morphological characteristics

Working with Biological Samples

  • Processing images of histological tissues, blood cells, and algae
  • Color deconvolution and the analysis of stained tissue sections
  • Time-lapse analysis and tracking of cell motility

Automation and Customization

  • Developing and executing macros to handle repetitive tasks
  • Utilizing 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 formatting data for publication
  • Best practices for ensuring reproducibility in image analysis

Requirements

  • A fundamental grasp of biological imaging principles
  • Familiarity with microscopy and histological methods
  • Basic computer proficiency

Target Audience

  • Researchers specializing in biotechnology and environmental toxicology
  • Laboratory technicians engaged in histological and cellular imaging
  • Scientists seeking to improve quantitative image analysis capabilities
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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