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How innovations in methodology offer new prospects for volume electron microscopy
Author(s) -
Kievits Arent J.,
Lane Ryan,
Carroll Elizabeth C.,
Hoogenboom Jacob P.
Publication year - 2022
Publication title -
journal of microscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.569
H-Index - 111
eISSN - 1365-2818
pISSN - 0022-2720
DOI - 10.1111/jmi.13134
Subject(s) - microscopy , volume (thermodynamics) , computer science , electron microscope , nanotechnology , electron tomography , resolution (logic) , automation , artificial intelligence , materials science , physics , optics , scanning transmission electron microscopy , engineering , quantum mechanics , mechanical engineering
Detailed knowledge of biological structure has been key in understanding biology at several levels of organisation, from organs to cells and proteins. Volume electron microscopy (volume EM) provides high resolution 3D structural information about tissues on the nanometre scale. However, the throughput rate of conventional electron microscopes has limited the volume size and number of samples that can be imaged. Recent improvements in methodology are currently driving a revolution in volume EM, making possible the structural imaging of whole organs and small organisms. In turn, these recent developments in image acquisition have created or stressed bottlenecks in other parts of the pipeline, like sample preparation, image analysis and data management. While the progress in image analysis is stunning due to the advent of automatic segmentation and server‐based annotation tools, several challenges remain. Here we discuss recent trends in volume EM, emerging methods for increasing throughput and implications for sample preparation, image analysis and data management.