TY - JOUR
T1 - How innovations in methodology offer new prospects for volume electron microscopy
AU - Kievits, Arent J.
AU - Lane, Ryan
AU - Carroll, Elizabeth C.
AU - Hoogenboom, Jacob P.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - data management
KW - image analysis
KW - image processing
KW - MB-SEM
KW - methodology development
KW - volume EM
UR - http://www.scopus.com/inward/record.url?scp=85134901574&partnerID=8YFLogxK
U2 - 10.1111/jmi.13134
DO - 10.1111/jmi.13134
M3 - Review article
C2 - 35810393
AN - SCOPUS:85134901574
SN - 0022-2720
VL - 287
SP - 114
EP - 137
JO - Journal of Microscopy
JF - Journal of Microscopy
IS - 3
ER -