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

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: Young-Gyu Yoon, Peilun Dai, Jeremy Wohlwend, Jae-Byum Chang, Adam H. Marblestone, Edward S. Boyden
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
neural morphology
3-D reconstruction
expansion microscopy
RNA barcode
convolutional neural network
agglomeration
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00097/full

Internet

http://journal.frontiersin.org/article/10.3389/fncom.2017.00097/full

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