Feel free to use these slides and their content for any purpose under the cc-by license.
Caveats regarding course and slide content:
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.
Topic 1: Course overview
Topic 2: Cell biology & microscopy. (Recorded) guest lecture by Natalie Elia, BGU
Topic 3: High content image-based cell phenotyping
Topic 4: Deep learning in microscopy
Topic 5: Image data open resources
Topic 6: Multicellular information processing
Topic 7: Course summary
Natalie Elia, BGU: Cell biology and microscopy
Loic Royer, CZBiohub: “Smart” microscope, NAPARI
Leeat Keren, WIS: Spatial omics
Tammy Riklin-Raviv, BGU: Computer vision in cell imaging
Video recordings of DSCI 2021 are publicly available here