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Certificate of Achievement
has completed the following course:
Image Analysis Methods for Biologists
This course introduced the topics of image acquisition and analysis, with a view to phenotypic analysis. The course was designed for learners with an existing biological science background. It introduced topics including image capture, image quality and segmentation methods.
4 weeks, 3 hours per week
Andrew French
Assistant Lecturer, Bioimage Analysis, Schools of Computer Science and Biosciences
The University of Nottingham
Tony Pridmore
Professor of Computer Science
The University of Nottingham
Transcript
Learning outcomes
- Improve quality of images captured for scientific experiments
- Develop an understanding of common image analysis techniques and what goes into making an image analysis tool
- Apply basic image processing methods to images, such as to reduce the effects of noise
- Discuss the assumptions and challenges involved in using different image analysis approaches
- Perform a variety of image segmentation approaches
- Explore the future of image analysis for phenotyping, including a look at AI-based approaches
- Investigate computer coding, using the Python language
Syllabus
- Introduction to image analysis
- Introduction to digital images and image capture
- Image noise, and noise reduction approaches
- Using image analysis to measure traits for phenotyping
- A brief introduction to computer coding
- A look at a variety of image segmentation approaches
- Building 3D models from 2D images
- Using image analysis to monitor changes over time
- A first introduction to AI-based approaches, such as deep learning
- Practical experience of using the Fiji image processing/analysis software
Issued on 17th May 2020
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.