2018
DOI: 10.3389/fnana.2018.00112
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Multi-Beam Scanning Electron Microscopy for High-Throughput Imaging in Connectomics Research

Abstract: Major progress has been achieved in recent years in three-dimensional microscopy techniques. This applies to the life sciences in general, but specifically the neuroscientific field has been a main driver for developments regarding volume imaging. In particular, scanning electron microscopy offers new insights into the organization of cells and tissues by volume imaging methods, such as serial section array tomography, serial block-face imaging or focused ion beam tomography. However, most of these techniques … Show more

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Cited by 48 publications
(33 citation statements)
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“…Furthermore, due to the networks' self-assembled structure, it is experimentally difficult to control the topology to measure how it influences dynamics. It is also extremely difficult to use imaging-based techniques such as or electron microscopy (e.g., White et al, 1986;Eberle and Zeidler, 2018) reconstructions to unpack the structural connectivity of ASNs, as it is impossible to tell whether or not intersecting wires form a junction between them. We therefore have developed a computational model that simulates the structure experimental ASNs, based on functional, experimental validation (Kuncic et al, 2018;Diaz-Alvarez et al, 2019).…”
Section: Neuromorphic Systems: Mimicking the Brain In Hardwarementioning
confidence: 99%
“…Furthermore, due to the networks' self-assembled structure, it is experimentally difficult to control the topology to measure how it influences dynamics. It is also extremely difficult to use imaging-based techniques such as or electron microscopy (e.g., White et al, 1986;Eberle and Zeidler, 2018) reconstructions to unpack the structural connectivity of ASNs, as it is impossible to tell whether or not intersecting wires form a junction between them. We therefore have developed a computational model that simulates the structure experimental ASNs, based on functional, experimental validation (Kuncic et al, 2018;Diaz-Alvarez et al, 2019).…”
Section: Neuromorphic Systems: Mimicking the Brain In Hardwarementioning
confidence: 99%
“…In particular, our staining methods now provide an excellent compromise between specimen contrast and accelerated FIB-SEM sectioning speed. Imaging speed may be further enhanced using higher specimen contrast to yield usable images yet more quickly, however; and in the future also possibly by using gas cluster milling (Hayworth et al, 2019) combined with SEM with multi-beam imaging (Eberle and Zeidler, 2018). Even so, many sensory inputs to both brain regions are necessarily removed when their axons are severed, and these leave behind degenerating afferent axons, which yield electron-dense profiles.…”
Section: Discussionmentioning
confidence: 99%
“…This is in contrast with serial-section approaches, using either scanning or transmission electron microscopy (TEM) 7 , 10 , 11 , 22 , 23 , which provide the opportunities for reimaging. For SEM, the highest throughput has been achieved with multi-beam instruments 29 , 30 , which were originally designed for semiconductor lithography, reverse engineering, and wafer defect inspection, but recently found great potential in neuronal circuit reconstruction. The multi-beam SEMs have achieved burst imaging rates at 0.45 Gpixel per sec in mouse brain 29 , 30 , showing a remarkable advancement in acquisition speed and capability of imaging large sample areas.…”
Section: Introductionmentioning
confidence: 99%
“…For SEM, the highest throughput has been achieved with multi-beam instruments 29 , 30 , which were originally designed for semiconductor lithography, reverse engineering, and wafer defect inspection, but recently found great potential in neuronal circuit reconstruction. The multi-beam SEMs have achieved burst imaging rates at 0.45 Gpixel per sec in mouse brain 29 , 30 , showing a remarkable advancement in acquisition speed and capability of imaging large sample areas. There are however factors that lead to long-term effective continuous acquisition rates still yet to be demonstrated, such as stage motion accuracy and settling time, focus variation across montage, system stability for continuous 24/7 operation, and maintenance overhead.…”
Section: Introductionmentioning
confidence: 99%