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Duration 14 hours
Course Outline
Introduction to Fiji and ImageJ
- An overview of Fiji and its applications in scientific research
- Comprehending ImageJ’s architecture and plugin ecosystem
- Installation and configuration of Fiji for optimal performance
Basic Image Processing Techniques
- Image acquisition and supported import formats
- Adjusting contrast, brightness, and the application of filters
- Methods 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
- Colour deconvolution and analysis of stained tissues
- Time-lapse analysis and the tracking of cell movement
Automation and Customisation
- Developing and executing macros for repetitive tasks
- Utilising Fiji plugins for specialised analyses
- Foundational scripting using the 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 foundational understanding of biological imaging concepts
- Proficiency with microscopy and histological techniques
- Basic computer literacy
Audience
- Researchers in the fields of biotechnology and environmental toxicology
- Laboratory technicians handling histological and cellular imaging
- Scientists with an interest in quantitative image analysis
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
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