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In this course you will learn
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Improve quality of images captured for scientific experiments
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Develop an understanding of common image analysis techniques and what goes into making an image analysis tool
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Apply basic image processing methods to images, such as to reduce the effects of noise
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Discuss the assumptions and challenges involved in using different image analysis approaches
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Perform a variety of image segmentation approaches
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Explore the future of image analysis for phenotyping, including a look at AI-based approaches
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Investigate computer coding, using the Python language
