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Course Outline

Introduction to Fiji and ImageJ

  • Overview of Fiji and its utility in scientific research
  • Examining the architecture and plugin system of ImageJ
  • Installation and configuration of Fiji for peak performance

Basic Image Processing Techniques

  • Image acquisition and supported import formats
  • Modifying contrast and brightness, along with applying filters
  • Methods for image stacking and projection

Advanced Image Analysis

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

Working with Biological Samples

  • Processing images of histological tissues, blood cells, and algae
  • Color deconvolution and evaluation of stained tissue samples
  • Time-lapse analysis and tracking cellular movement

Automation and Customization

  • Developing and executing macros for recurring tasks
  • Leveraging Fiji plugins for specialized analytical needs
  • Introductory scripting using the ImageJ Macro Language (IJM)

Data Management and Reporting

  • Exporting outcomes and compiling detailed reports
  • Annotating images and formatting data for publication
  • Adhering to best practices for reproducible image analysis

Requirements

  • Fundamental grasp of biological imaging principles
  • Experience with microscopy and histological methods
  • Essential computer skills

Target Audience

  • Specialists 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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