Date: 16 October 2025 @ 09:00 - 17:00

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As microscopy becomes increasingly central to life science research, the ability to process and analyze image data is essential for early-stage PhD students, postdocs, and technical staff working with biological images. This training introduces participants to Fiji, a widely used open-source platform built on ImageJ, designed for scientific image analysis. Through hands-on exercises, participants will learn how to perform basic image processing tasks, apply filters, and use plugins for biological image quantification. The course also covers the use of macros to automate repetitive tasks, enabling more efficient and reproducible workflows. By the end of the session, attendees will be equipped with practical skills to independently analyze microscopy images and build simple analysis pipelines tailored to their research needs.

Keywords: hands-on, imaging, software

Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75

City: Zwijnaarde

Country: Belgium

Postcode: 9052

Learning objectives:

  • filtering
  • segmentation) to biological images using Fiji”
  • thresholding
  • “Apply standard image processing operations (e.g.
  • “Construct a simple image analysis workflow and create a Fiji macro to automate it and process images in a batch”
  • “Demonstrate the use of key Fiji plugins for common image analysis tasks relevant to life sciences”
  • “Evaluate the quality and accuracy of image analysis results by comparing processed outputs with raw data”
  • “Identify the basic components of the Fiji interface and describe their functions in image analysis”
  • “Modify existing macro scripts to adapt analysis pipelines to specific experimental needs”
  • “Perform spatial and intensity measurements”

Organizer: VIB

Event types:

  • Workshops and courses


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