Search

Search results

34 results found

Anne Carpenter featured in "Automating Drug Discovery With Machine Learning"

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...

*NEW* Video Tutorials

We have added FIVE new video tutorials to our YouTube Channel! Two CellProfiler CZI workshops Two ImageJ CZI workshops CellProfiler "NamesAndTypes" video tutorial: Blog to guide you with this tutorial

Kevin Eliceiri named Fellow of the Optical Society of America

COBA's own Dr. Kevin Eliceiri has been named a 2021 Fellow of the Optical Society of America for outstanding research in cellular microenvironment imaging and bio-image informatics. According to the OSA: This distinction was awarded to 118 OSA members, from 24 countries, for their significant...

Anne Carpenter Elected to AIMBE 2020 Fellows

The American Institute for Medical and Biological Engineering (AIMBE) announced today the election of 156 new members of the AIMBE College of Fellows in recognition of their distinguished and continuing achievements in medical and biological engineering. COBA's own Anne Carpenter is among those...

Anne Carpenter Awarded Honorary Fellowship of the Royal Microscopical Society

The Council of the Royal Microscopical Society announced today that COBA's Anne Carpenter was unanimously voted to receive an Honorary Fellowship of the Royal Microscopy Society. Honorary Fellowships are bestowed by the Society for preeminence in microscopy and related branches of science. According...

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...