Basics of Image Analysis using the ImageJ GUI

  • Booking will be opened on 14th of February 2022 at 10 am
  • Start: Mar 7, 2022 01:00 PM (Local Time Germany)
  • End: Mar 15, 2022 05:00 PM
  • Speaker: Politi, Tischer, Khan, Stokkermans
  • Antonio Politi; Live-cell Imagaing Facility of the MPI for multidisciplinary Sciences and Christian Tischer, Arif Khan and Anniek Stokkermans; Center for Bioimage Analysis of EMBL
  • Location: online course
  • Room: Zoom-Meeting
  • Host: Max Planck BioImaging Core Unit Network
 	 	 	 	 Basics of Image Analysis using the ImageJ GUI
The course covers basic concepts of image analysis such as image properties, image segmentation, shape and intensity measurements. We will use Fiji, but the course is also recommended if you are a beginner and want to perform image analysis using other platforms. Four afternoons online course on "Basics of Image Analysis using the ImageJ GUI" March 7th & 8th, March 14th & 15th, 2022: 13:00 - 17:00 (CET)

Content:
This is an image analysis course for beginners and will cover the following topics:

  • Basic image segmentation (binarization by thresholding)
  • Image convolution filtering
  • Image rank filters (median, erosion, dilation, top hat)
  • Object detection (connected component analysis and label images)
  • Object shape measurements
  • Background subtraction
  • Object intensity measurements
  • Distance transform
  • Watershed

The practicals will be conducted using the graphical user interface of Fiji (https://fiji.sc/). However, we will focus on the concepts of image analysis rather than the specific implementation in Fiji. Thus, this course is also recommended if you are a beginner and want to perform image analysis in some other platform (e.g., using python scripting).

Prerequisites:

  • You have experience in taking microscopy images of biological samples.
  • You are familiar with basic image properties and how to display images.
  • You have a research project that may require automated quantification of microscopy images.

Please follow this link to register at the Max Planck Academy for the course: Registration Link

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