10.5061/DRYAD.H67T6
Joesch, Maximilian
Harvard University
Mankus, David
Harvard University
Yamagata, Masahito
Harvard University
Shahbazi, Ali
Notre Dame University
University of Notre Dame
Shalek, Richard
Harvard University
Suissa-Peleg, Adi
Harvard University
Meister, Markus
California Institute of Technology
Lichtman, Jeff W.
Harvard University
Scheirer, Walter J.
Notre Dame University
Sanes, Joshua R.
Harvard University
Schalek, Richard
Harvard University
Data from: Reconstruction of genetically identified neurons imaged by
serial-section electron microscopy
Dryad
dataset
2016
Connectomics
peroxidase
Electron microscopy
2016-07-07T15:23:53Z
2016-07-07T15:23:53Z
en
https://doi.org/10.7554/eLife.15015
10044786544 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Resolving patterns of synaptic connectivity in neural circuits currently
requires serial section electron microscopy. However, complete circuit
reconstruction is prohibitively slow and may not be necessary for many
purposes such as comparing neuronal structure and connectivity among
multiple animals. Here, we present an alternative strategy, targeted
reconstruction of specific neuronal types. We used viral vectors to
deliver peroxidase derivatives, which catalyze production of an
electron-dense tracer, to genetically identified neurons, and developed a
protocol that enhances the electron-density of the labeled cells and while
retaining quality of the ultrastructure. The high contrast of the marked
neurons enabled two innovations that dramatically speed data acquisition:
targeted high-resolution reimaging of regions selected from
rapidly-acquired lower resolution reconstruction, and an unsupervised
segmentation algorithm. This pipeline reduces imaging and reconstruction
times by at least two orders of magnitude, facilitating directed inquiry
of circuit motifs.
Joesch et al. 2016 - Data Fig. 3k - sections 205-231Joesch et al. 2006 -
Fig 3k - sections 205-231.zipJoesch et al. 2016 - Fig 3k - sections
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