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Free keywords:
Cryo-electron tomography
Molecular sociology
Actin filaments
Tomogram
acquisition
Automation
Deep learning -based data analysis
Lift -out
organization
resolution
Cell Biology
Abstract:
Cryo-electron tomography (cryo-ET) has begun to provide intricate views of cellular architecture at unprecedented resolutions. Considerable efforts are being made to further optimize and automate the cryo-ET workflow, from sample preparation to data acquisition and analysis, to enable visual proteomics inside of cells. Here, we will discuss the latest advances in cryo-ET that go hand in hand with their application to the actin cytoskeleton. The development of deep learning tools for automated annotation of tomographic reconstructions and the serial lift -out sample preparation procedure will soon make it possible to perform high -resolution structural biology in a whole new range of samples, from multicellular organisms to organoids and tissues.
