organized in cooperation with Helmholtz Information & Data Science Academy (HIDA) and Helmholtz Imaging
Introduction to Image Registration
This workshop explores fundamental concepts and practical techniques for image registration, focusing on applications in microscopy, material science, and earth science. Image registration is the process of aligning multiple datasets into a common coordinate system, enabling accurate comparison and analysis.
This workshop will be an hour and a half and will include classical approaches as well as deep learning approaches.
Learning Goals
By the end of the course, you will be able to …
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Understand the purpose of image registration and its common needs in research across various fields like microscopy, medical imaging, earth science, and material science.
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Identify different image transformation types (e.g., rigid, affine) and understand their application.
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Explain the reason for and common types of image interpolation used in image transformation.
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Understand and apply integrated image registration techniques, including Intensity-Based, Feature-based approaches, and Deep Learning-Based Registration.
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Understand techniques for 3D registration, such as aligning slices in a stack.
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Recognize challenges and considerations in image registration, such as method selection, transformation type, and preprocessing.
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Be aware of available software tools and libraries for image registration.
Prerequisites
To participate in this course, you need to know
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While there are no formal prerequisites, a basic understanding of what digital images are (i.e., as matrices of pixel intensities) and some prior coding experience would be beneficial.
Target Group
This course is aimed at scientists who work with images and want to learn how to spatially align them.
Course Days & Times
Oct 29, 2025, 10:00 am - 11:30 am
NOTE: Registration will open October 1, 2025, 12 pm.
Attendance & Certificates
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Registration & Cancellation
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance via hida-courses@helmholtz.de.
If you have to cancel the course for any reason, please do so as soon as possible to allow time for others to take your seat. To cancel, please withdraw your registration on the course site or write an email to hida-courses@helmholtz.de.
Additional Information
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is fully booked and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA course catalog for updates.
This course is free of charge.
