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Course Outline

Introduction to Fiji and ImageJ

  • Overview of Fiji and its practical applications in scientific research
  • Understanding the architecture and plugin ecosystem of ImageJ
  • Installing and configuring Fiji for optimal performance

Basic Image Processing Techniques

  • Image acquisition and supported import formats
  • Adjusting contrast and brightness, along with applying filters
  • Image stacking and projection methods

Advanced Image Analysis

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

Working with Biological Samples

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

Automation and Customization

  • Creating and executing macros for repetitive tasks
  • Utilizing Fiji plugins for specialized analyses
  • Basic scripting using ImageJ Macro Language (IJM)

Data Management and Reporting

  • Exporting results and generating comprehensive reports
  • Annotating images and preparing data for publication
  • Best practices for ensuring reproducible image analysis

Requirements

  • A fundamental grasp of biological imaging concepts
  • Knowledge of microscopy and histological techniques
  • Basic computer proficiency

Target Audience

  • Researchers in the fields of biotechnology and environmental toxicology
  • Laboratory technicians engaged in histological and cellular imaging
  • Scientists seeking to apply quantitative image analysis methods
 14 Hours

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Provisional Upcoming Courses (Require 5+ participants)

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