Literature DB >> 32460016

Precise Mapping of Single Neurons by Calibrated 3D Reconstruction of Brain Slices Reveals Topographic Projection in Mouse Visual Cortex.

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.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

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


  6 in total

1.  High-Throughput Strategy for Profiling Sequential Section With Multiplex Staining of Mouse Brain.

Authors:  Siqi Chen; Zhixiang Liu; Anan Li; Hui Gong; Ben Long; Xiangning Li
Journal:  Front Neuroanat       Date:  2021-12-23       Impact factor: 3.856

Review 2.  Recent Technical Advances in Accelerating the Clinical Translation of Small Animal Brain Imaging: Hybrid Imaging, Deep Learning, and Transcriptomics.

Authors:  Wuwei Ren; Bin Ji; Yihui Guan; Lei Cao; Ruiqing Ni
Journal:  Front Med (Lausanne)       Date:  2022-03-24

3.  A Novel In Vivo Model for Multiplexed Analysis of Callosal Connections upon Cortical Damage.

Authors:  Ana González-Manteiga; Carmen Navarro-González; Valentina Evita Sebestyén; Jose Manuel Saborit-Torres; Daniela Talhada; María de la Iglesia Vayá; Karsten Ruscher; Pietro Fazzari
Journal:  Int J Mol Sci       Date:  2022-07-26       Impact factor: 6.208

4.  Organization of feedback projections to mouse primary visual cortex.

Authors:  Mai M Morimoto; Emi Uchishiba; Aman B Saleem
Journal:  iScience       Date:  2021-04-17

5.  A deep learning algorithm for 3D cell detection in whole mouse brain image datasets.

Authors:  Adam L Tyson; Charly V Rousseau; Christian J Niedworok; Sepiedeh Keshavarzi; Chryssanthi Tsitoura; Lee Cossell; Molly Strom; Troy W Margrie
Journal:  PLoS Comput Biol       Date:  2021-05-28       Impact factor: 4.475

Review 6.  Mesoscale microscopy and image analysis tools for understanding the brain.

Authors:  Adam L Tyson; Troy W Margrie
Journal:  Prog Biophys Mol Biol       Date:  2021-07-01       Impact factor: 3.667

  6 in total

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