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Feel free to use these slides and their content for any purpose under the cc-by license. 

Caveats regarding course and slide content:

  1. 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...

  2. Topic selection is biased toward my personal interests (and research).

  3. Some slides are reflecting my personal views that might be controversial/provocative. Happy to debate :-) 

  4. 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

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