Feel free to use these slides and their content for any purpose under the cc-by license.
Caveats regarding course and slide content:
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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...
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Topic selection is biased toward my personal interests (and research).
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Some slides are reflecting my personal views that might be controversial/provocative. Happy to debate :-)
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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.
Course slides:
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
Guest lectures:
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
