A team based at Berkeley Lab’s Advanced Light Source is making waves with its new approach for whole-cell visualization, using the world’s first soft X-ray tomography (SXT) microscope built for biological and biomedical research. In its latest study, published in Science Advances, the team used its platform to reveal never-before-seen details about insulin secretion in pancreatic cells taken from rats. This work was done in collaboration with a consortium of researchers dedicated to whole-cell modeling, called the Pancreatic β-Cell Consortium.
MBIB Management Changes
Molecular Biophysics and Integrated Bioimaging (MBIB) Division Director Paul Adams has announced a number of changes in the Division leadership, effective July 21.
Study Gains New Insight Into Bacterial DNA Packing
A Berkeley Lab-led team of researchers used multiple high-powered X-ray techniques at the Advanced Light Source to image the process in E. coli bacteria at the micro-, meso-, and nanoscales. The imaging technique they developed enabled them to visualize the bacteria’s chromosome at higher resolutions than ever before, and without the need for labeling, which slows down the process but is required by most other techniques.
Congratulations to Biosciences Area Director’s Award Recipients
Chan Zuckerberg Institute Funds Projects in Support of Human Cell Atlas
Two proposals, from Biosciences Area researchers Cynthia McMurray and Carolyn Larabell, have been recommended for funding by the Chan Zuckerberg Initiative (CZI) through a new grant program focused on developing collaborative computational tools to support the Human Cell Atlas (HCA). A global endeavor governed by an organizing committee co-chaired by Aviv Regev at the Broad Institute of MIT and Harvard and Sarah Teichmann at the Wellcome Trust Sanger Institute, the HCA will generate a variety of molecular and imaging data across a range of modalities and spatial scales. To advance the analysis, interpretation, and dissemination of these data, the CZI issued an open call in July 2017 for proposals aimed at creating new computational tools, algorithms, visualizations, and benchmark datasets. After a thorough evaluation process, CZI recommended 85 projects (out of nearly 300 submissions) for funding, and will provide $15 million in total over one year for their execution.
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