| Literature DB >> 36227743 |
Hao Yu1, Qiang Li2, Alfredo Sandoval2, Holly C Gibbs3, Amber English4, Tiffany Dunn2, John Moth2, Hajira Elahi5, Bo Chen6.
Abstract
Precisely measuring the number and somatic volume of neurons in the central nervous system at single-cell resolution is technically challenging. Here, we combine multiple techniques to address this challenge in optically cleared mouse spinal cords. We describe in vivo neuron labeling approaches, tissue-clearing technology, light sheet fluorescence microscopy, and machine learning-guided imaging analysis. This combination provides a precise determination of the cell number and somatic volume of any neuron population in the spinal cords. Published by Elsevier Inc.Entities:
Keywords: Cell Biology; Microscopy; Molecular/Chemical Probes; Neuroscience
Year: 2022 PMID: 36227743 PMCID: PMC9576748 DOI: 10.1016/j.xpro.2022.101759
Source DB: PubMed Journal: STAR Protoc ISSN: 2666-1667