As microscopes get more and more powerful, we need increasingly powerful tools to analyze the images they capture. For example, 3D images captured by advanced imaging techniques like CryoET can take months to analyze with current methods. Enter CZ Imaging Institute scientist Utz Ermel, who recently applied a machine learning algorithm developed by researchers Lorenz Lamm and Ben Engel to address this bottleneck to discovery. Using AI, Utz was able to label all membranes in over 13,000 cell images in just 3.5 days. This is a task that would have been near impossible without AI. Not only will Utz and the team at the CZ Imaging Institute continue this for more proteins in cells, all this work and the data used are shared with open access on the CryoET portal. Using tech and open collaborations, we’re accelerating towards understanding our cells so we can better treat disease. #science #AI #MachineLearning #Biomedicine #Biology #SciTech
Fantastic work! I am truly inspired by the implementation of AI within biomedical science.
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Love this. Great work, Utz!!
Mechanical Engineer
1wWell done. Keep up the good work, as usual.