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New public workflow available!

We are pleased to announce that our first publicly available bio image analysis workflow (an outcome of a collaboration with the Newmark lab at Morgridge Institute for Research) is now available via our COBA GitHub repository. This example workflow automatically detects, orders, and saves individual...

Published: "Open-source deep-learning software for bioimage segmentation"

American Society for Cell Biology journal Molecular Biology of the Cell published a manuscript from COBA researchers surveying several new open-source software tools that aim to make deep-learning–based image segmentation accessible to biologists with limited computational experience. Read the paper...

Free online image analysis workshop for beginners!

June 24: This interactive workshop will focus on adapting CellProfiler pipelines to new datasets. Undergrad / early grad students will be prioritized, but all are welcome. Sign up (space limited): http://broad.io/cellprofilerworkshopsignup. This course will be jointly led by Julia van den Beemd and...

Kevin Eliceiri Elected to AIMBE 2021 Fellows

The American Institute for Medical and Biological Engineering (AIMBE) announced today the election of 174 new members of the AIMBE College of Fellows in recognition of their distinguished and continuing achievements in medical and biological engineering. COBA's own Kevin Eliceiri is among those...

Image-based profiling highlighted in NRDD review article

Several Consortium members collaborated to write a review article highlighting applications of image-based profiling in the pharmaceutical pipeline, published today in Nature Reviews Drug Discovery. The article, "Image-based profiling for drug discovery: due for a machine-learning upgrade?", can be...