FluoEM, virtual labeling of axons in three-dimensional electron microscopy data for long-range connectomics

The labeling and identification of long-range axonal inputs from multiple sources within densely reconstructed electron microscopy (EM) datasets from mammalian brains has been notoriously difficult because of the limited color label space of EM. Here, we report FluoEM for the identification of multi...

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Detalles Bibliográficos
Autores principales: Drawitsch, Florian, Karimi, Ali, Boergens, Kevin M, Helmstaedter, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158011/
https://www.ncbi.nlm.nih.gov/pubmed/30106377
http://dx.doi.org/10.7554/eLife.38976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158011/
https://www.ncbi.nlm.nih.gov/pubmed/30106377
http://dx.doi.org/10.7554/eLife.38976

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