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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Bibliographic Details
Main Authors: Yoon, Young Gyu, Dai, Peilun, Wohlwend, Jeremy, Chang, Jae-Byum, Marblestone, Adam Henry, Boyden, Edward
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Published: Frontiers Research Foundation 2018
Online Access:http://hdl.handle.net/1721.1/115370
https://orcid.org/0000-0003-1812-6421
https://orcid.org/0000-0002-1680-0526
https://orcid.org/0000-0003-2055-4900
https://orcid.org/0000-0002-0419-3351