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Course Outline

Introduction to Fiji and ImageJ

  • An overview of Fiji and its diverse applications in scientific research
  • Exploring the architecture of ImageJ and its plugin ecosystem
  • Installing and configuring Fiji for optimal performance

Basic Image Processing Techniques

  • Managing image acquisition and various import formats
  • Modifying contrast, brightness, and applying standard filters
  • Techniques for image stacking and projection methods

Advanced Image Analysis

  • Segmentation approaches, including thresholding and edge detection
  • Performing object counting and particle analysis on histological samples
  • Quantifying areas, perimeters, and other morphological attributes

Working with Biological Samples

  • Processing imagery from histological tissues, blood cells, and algae
  • Applying color deconvolution and analyzing stained tissue sections
  • 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 needs
  • Introductory scripting using the ImageJ Macro Language (IJM)

Data Management and Reporting

  • Exporting results and compiling comprehensive reports
  • Annotating images and formatting data for publication standards
  • Adhering to best practices for reproducible image analysis

Requirements

  • A fundamental grasp of biological imaging principles
  • Exposure to microscopy and histological methods
  • Basic computer proficiency

Audience

  • Researchers specializing in biotechnology and environmental toxicology
  • Laboratory technicians engaged in histological and cellular imaging
  • Scientists with an interest in quantitative image analysis
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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