Last December we ran a successful Python bioImage analysis training course at Cambridge University UK. This course was aimed at taking researchers with some experience of image analysis to a level where they would be confident enough to write and design their own image analysis algorithms.
Full of details for this course can be found here:
Over the last few weeks we have been adding more video content to the Python course to make it easier to follow the course online, something that people having been asking for since the Covid crisis began. Therefore if you are interested to learn and apply Python for the goal of Bioimage analysis we encourage you to follow the above link and work through the course. Also, to support any potential Python enthusiasts, we are today launching a new hashtag: #BAPython. If you use this tag in the image.sc forum when you ask a question, then we, the tutors of the course (Chas Nelson, Dominic Waithe, Mikolaj Kundegorski, Stephen Cross, and Todd Fallesen), have pledged to do our best to answer your Python related bioImage analysis questions and support your development.
On behalf of
Chas Nelson, Dominic Waithe, Mikolaj Kundegorski, Stephen Cross, and Todd Fallesen