A Machine Learning Pipeline for Interpreting Large Tomography Datasets
A team of Berkeley Lab scientists has developed a machine-learning pipeline to facilitate segmentation of tomograms of cell membrane structures. The project was an LDRD-funded collaboration among Chao Yang from the Applied Mathematics and Computational Research Division, and Nick Sauter and Karen Davies from the Molecular Biophysics and Integrated Bioimaging (MBIB) Division.
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