Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration

We here introduce and study the properties, via computer simulation, of a candidate automated approach to algorithmic reconstruction of dense neural morphology, based on simulated data of the kind that would be obtained via two emerging molecular technologies—expansion microscopy (ExM) and in-situ m...

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Detalles Bibliográficos
Autores principales: Yoon, Young-Gyu, Dai, Peilun, Wohlwend, Jeremy, Chang, Jae-Byum, Marblestone, Adam H., Boyden, Edward S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660712/
https://www.ncbi.nlm.nih.gov/pubmed/29114215
http://dx.doi.org/10.3389/fncom.2017.00097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660712/
https://www.ncbi.nlm.nih.gov/pubmed/29114215
http://dx.doi.org/10.3389/fncom.2017.00097

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