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...
Main Authors: | Yoon, Young Gyu, Dai, Peilun, Wohlwend, Jeremy, Chang, Jae-Byum, Marblestone, Adam Henry, Boyden, Edward |
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Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Published: |
Frontiers Research Foundation
2018
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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 |
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