| Literature DB >> 32460016 |
Jun Ho Song1, Woochul Choi2, You-Hyang Song3, Jae-Hyun Kim3, Daun Jeong3, Seung-Hee Lee3, Se-Bum Paik4.
Abstract
Recent breakthroughs in neuroanatomical tracing methods have helped unravel complicated neural connectivity in whole-brain tissue at single-cell resolution. However, in most cases, analysis of brain images remains dependent on highly subjective and sample-specific manual processing, preventing precise comparison across sample animals. In the present study, we introduce AMaSiNe, software for automated mapping of single neurons in the standard mouse brain atlas with annotated regions. AMaSiNe automatically calibrates misaligned and deformed slice samples to locate labeled neuronal positions from multiple brain samples into the standardized 3D Allen Mouse Brain Reference Atlas. We exploit the high fidelity and reliability of AMaSiNe to investigate the topographic structures of feedforward projections from the lateral geniculate nucleus to the primary visual area by reconstructing rabies-virus-injected brain slices in 3D space. Our results demonstrate that distinct organization of neural projections can be precisely mapped using AMaSiNe.Entities:
Keywords: Allen Mouse Brain Reference Atlas; automated brain mapping; brain image registration; brain slice calibration; mouse brain slice; retrograde tracing; single-neuron mapping; standard 3D brain atlas; topographic projection; visual cortex
Mesh:
Year: 2020 PMID: 32460016 DOI: 10.1016/j.celrep.2020.107682
Source DB: PubMed Journal: Cell Rep Impact factor: 9.423