Feel free to use these slides and their content for any purpose under the cc-by license.
Caveats regarding course and slide content:
This is the first round of this course, I am preparing slides on a week-to-week "survival mode". The class material and slides are not polished and will be improved next (and the following) years...
Topic selection is biased toward my personal interests (and research)).
Some slides are reflecting my personal views that might be controversial/provocative. Happy to debate :-)
I am reaching out to researchers for slides and integrate them into my presentations. This means that some of the topics are heavily biased toward the work from specific labs. I plan to improve this aspect in future rounds of the course. Please reach out if you have a topic / specific research paper/s to suggest for the course.
Lecture 1: course overview
Lecture 2: single cell phenotypic profiling
Lecture 3: cell biology & microscopy. Guest lecture by Natalie Elia
Lecture 4: phenotypic screening
Lecture 5: deep learning in microscopy
Lecture 6: deep learning in microscopy
Lecture 7: deep learning in microscopy + guest lecture by Tammy Riklin-Raviv
Lecture 8: guest lecture by Kota Miura on bioimage analysis + student lectures
Lecture 9: guest lecture by Yaron Gurovich on medical imaging + student lectures
Lecture 10: guest lecture by Tal Shay on systems biology + student lectures