With the advancement of microscopy into digital imaging, computational analysis has increasingly become an essential component of research. However, most researchers still need training to fully exploit the quantitative characterization of observed biological behaviour. This intensive EMBO Practical Course aims to provide innovative training in digital optical imaging, data analysis and its application to biological systems. We aim to go beyond the use of out- of-the-box, often commercial, solutions for image quantification and empower biologists to develop their own computational solutions for advanced quantitative imaging. Topics covered include computational image analysis using python, machine learning, and deep-learning application to noise-reduction, segmentation and super-resolution.
These cookies are used to enhance your browsing experience, security and our website's performance, allowing you to access the main features of the website. Therefore, they are always enabled. This type of cookies includes cookies that allow you to be remembered as you browse the website during a single session.
These cookies collect information about the use of the website to improve the services provided and to evaluate the performance of the website. Some of these cookies may be used to test pages or the functionality of the website by measuring the reaction of users. These cookies may be our own and / or owned by third parties.
These cookies are third-party cookies that allow to connect to social media and share multimedia content from our website on those networks. Some of these cookies help us to adapt advertising outside of our website to the interests of the users. By disabling these cookies, it will no longer be possible to directly share our content in any social media
For more information about cookies and the processing of your personal data, please see the Privacy and Cookies Policy. You can change your cookie settings at any time through the link at the bottom of the page.