
edXModern biology drowns in images—thousands per experiment. This course teaches you to turn that flood into data. You'll master acquisition, filtering, and segmentation using open-source tools, learning good practices and avoiding common pitfalls. Taught by senior image analysts with real-world experience, it equips you to adapt workflows to your research questions and join the growing community solving similar problems.
Nowadays, image-based methods are indispensable for life scientists. Light microscopy especially, has evolved from sketched out observations by eye, to high throughput multi-plane, multi-channel, multi-position and multimode acquisitions that easily produce thousands of information-rich images that must be quantified somehow to answer biological questions.
This course will teach you core concepts from image acquisition to image filtering and segmentation, to help you tackle simple image analysis workflows on your own. All examples use open source solutions, in order to allow you to be independent from commercial solutions. Emphasis is made on good practices and typical pitfalls in image analysis. At the end of this course, you will be able to adapt and reuse workflows to suit your specific needs and be equipped with the tools and knowledge to adapt and seek advice from the ever-growing image analyst community of which you will be a part now
The course is taught by senior image analysts with longtime work experience in a service-oriented core facility.
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Tracking since 1 Aug— not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.