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!
Join us this Thursday, August 27th at 5pm US Eastern time by signing up here and dive into the wonderful world of visualizing and processing images at scale in Python!