This Indico installation shall not be used to organise MPI-CBG courses and events from beginning of 2024 on. Please use MPG Indico instead.

Image analysis course

Europe/Berlin
Seminar Room 1 (CSBD)

Seminar Room 1

CSBD

Pfotenhauerstr. 108
Description

This course is aimed at beginners willing to get started with Image Analysis or to improve their basic knowledge.

The following concepts will be introduced with many ImageJ/Fiji hands-on-sessions and exercises along the way:

  • Day 1:
    • Basic concepts: image characteristics, visualisation, regions of interest and measurements
    • Segmentation 1: thresholding, mask/region analysis, spot detection and skeletonisation
  • Day 2:
    • Measurements in time sequences and tracking
    • The macro Recorder.
    • Segmentation 2: image filters such as erosion/dilation, distance maps and the watershed algorithm.
  • Day 3:
    • Visualize and explore 3D images
    • Spot detection and segmentation in 3D datasets
    • Big Data Viewer and Multiview Spim dataset

The course will be held from October 23rd to 25th from 9:00 to 17:00, in CSBD Seminar room 1.

If you are interested, follow the link to the registration form in the left menu.

In accordance with MPI-CBG recharge policy the course will cost 300 Euros for MPI-CBG staff (600 euros otherwise).  Please verify that this is O.K. with your group or service leader.

Image data
    • 09:00 10:40
      Basic concepts

      Image visualisation and characteristics, Region of interests, Measures

    • 10:40 11:00
      Break 20m
    • 11:00 12:00
      Exercises
    • 12:00 13:30
      Lunch break 1h 30m
    • 13:30 15:00
      Segmentation 1
    • 15:00 15:20
      Break 20m
    • 15:20 17:00
      Exercises
    • 09:00 10:40
      Time sequences
    • 10:40 11:00
      Break 20m
    • 11:00 12:00
      Exercises
    • 12:00 13:30
      Lunch break 1h 30m
    • 13:30 15:00
      Segmentation 2
    • 15:00 15:20
      Break 20m
    • 15:20 17:00
      Exercises
    • 09:00 10:40
      nD image exploration
    • 10:40 11:00
      Break 20m
    • 11:00 12:00
      Exercises
    • 12:00 13:30
      Lunch Break 1h 30m
    • 13:30 15:00
      Spot detection and segmentation in 3D datasets
    • 15:00 15:20
      Break 20m
    • 15:20 16:30
      Exercises
    • 16:30 17:00
      Feedback
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