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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...

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...

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...

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...

COBA's Anne Carpenter recently won the American Society for Cell Biology's Women in Cell Biology Mid-career Award. As part of this award, Carpenter wrote an award essay, "A well-engineered path into cell biology and academia", published in the November 30 issue of Molecular Biology of the Cell. Of...

The results of the 2020 BioImage Analysis Survey have been published online by Cambridge University Press. In this paper, we summarize a global survey of 484 participants of the imaging community, conducted in 2020 through the NIH Center for Open BioImage Analysis (COBA). Read the paper here.

The EMBL Course "Deep learning for image analysis" is being held virtually from January 17-21, 2022. Additional pre-course sessions will be held on Friday, December 3, 2021, Friday, December 17, 2021 and on Monday, January 10, 2022, which will bring everyone to a good starting position for a week...

Today, two podcasts featuring Anne Carpenter were released. On Google Ventures' Theory and Practice season two, Carpenter spoke with Google Ventures' Anthony Philippakis and Alex Wiltschko from Google AI, focusing on machine learning in drug discovery. The full episode is available below. On The...

Technology Networks recently published "Automating Drug Discovery With Machine Learning" by Neeta Ratanghayra and featured a section on image-based profiling for drug discovery. COBA's Anne Carpenter was featured and spoke about image-based profiling in general as well as the use of machine learning...