Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T07:13:46.492Z Has data issue: false hasContentIssue false

Multi-order Scaling of High-throughput Transmission Electron Microscopy

Published online by Cambridge University Press:  05 August 2019

Christopher S. Own*
Affiliation:
Voxa, Seattle, WAUSA.
Theodore DeRego
Affiliation:
Voxa, Seattle, WAUSA.
Lawrence S. Own
Affiliation:
Voxa, Seattle, WAUSA.
Gerward Weppelman
Affiliation:
Voxa, Seattle, WAUSA.
Adrian A. Wanner
Affiliation:
Princeton Neuroscience Institute, NJ, USA.
Sebastian Ströh
Affiliation:
Princeton Neuroscience Institute, NJ, USA.
Eric Hammerschmith
Affiliation:
Princeton Neuroscience Institute, NJ, USA.
Ashwin Vishwanathan
Affiliation:
Princeton Neuroscience Institute, NJ, USA.
H. Sebastian Seung
Affiliation:
Princeton Neuroscience Institute, NJ, USA.
*
*Corresponding author: csown@voxa.co

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Multi-Modal, Large-Scale and 3D Correlative Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Kubota, Y, Sohn, J, and Kawaguchi, Y., Frontiers in Neural Circuits 12 (2018), Article 98.Google Scholar
[2]Micheva, KD, and Smith, SJ, Neuron 55 (2007), p. 25-36Google Scholar
[3]Own, CS, et al. , Microscopy & Microanalysis 21 (2015), p. 9.Google Scholar
[4]Own, CS, et al. , Microscopy & Microanalysis 23 (2017), p. 32.Google Scholar
[6]This work was supported by Voxa, Simons Foundation, National Institutes of Health, and CV Starr Fellowship of the Princeton Neuroscience Institute. Voxa innovations are patented and patent pending.Google Scholar