Nicholas Sofroniew, Imaging Tech Lead at Chan Zuckerberg Initiative, and Talley Lambert, Microscopist and Lecturer at Harvard Medical, join Science Thursday regulars Matthew Rocklin and Hugo Bowne-Anderson to chat and code about viewing and processing large datasets, with examples from the bioimaging world.

We’ll use Dask and Napari, a fast, interactive, multi-dimensional image viewer for Python, designed for browsing, annotating, and analyzing large multi-dimensional images.

After attending, you’ll know

• How to visualize large imaging datasets
• How to perform lazy computations on images
• How to do interactive image analysis on big datasets!

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