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J-GLOBAL ID：202202252325000033   整理番号：22A0454416

全マウス脳のクロスモーダルコヒーレントレジストレーション【JST・京大機械翻訳】

Cross-modal coherent registration of whole mouse brains

著者 (37件)： Qu Lei (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Qu Lei (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Qu Lei (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China) ,  Li Yuanyuan (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Xie Peng (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Liu Lijuan (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Liu Lijuan (Ministry of Education Key Laboratory of Developmental Genes and Human Disease, School of Life Science and Technology, Southeast University, Nanjing, China) ,  Wang Yimin (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Wang Yimin (School of Computer Engineering and Science, Shanghai University, Shanghai, China) ,  Wu Jun (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Liu Yu (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Wang Tao (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Li Longfei (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Guo Kaixuan (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Wan Wan (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Ouyang Lei (Ministry of Education Key Laboratory of Intelligent Computation & Signal Processing, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Electronics and Information Engineering, Anhui University, Hefei, China) ,  Xiong Feng (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Kolstad Anna C. (Department of Cell, Developmental & Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA) ,  Wu Zhuhao (Department of Cell, Developmental & Regenerative Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA) ,  Wu Zhuhao (Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA) ,  Xu Fang (CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundame...) ,  Zheng Yefeng (Tencent Jarvis Lab, Shenzhen, Guangdong, China) ,  Gong Hui (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China) ,  Gong Hui (HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China) ,  Gong Hui (CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, China) ,  Luo Qingming (Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, MoE Key Laboratory for Biomedical Photonics, Huazhong University of Science and Technology, Wuhan, China) ,  Luo Qingming (HUST-Suzhou Institute for Brainsmatics, JITRI Institute for Brainsmatics, Suzhou, China) ,  Luo Qingming (CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, China) ,  Luo Qingming (School of Biomedical Engineering, Hainan University, Haikou, China) ,  Bi Guoqiang (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China) ,  Bi Guoqiang (CAS Key Laboratory of Brain Connectome and Manipulation, Interdisciplinary Center for Brain Information, The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundame...) ,  Bi Guoqiang (Center for Integrative Imaging, Hefei National Laboratory for Physical Sciences at the Microscale, and School of Life Sciences, University of Science and Technology of China, Hefei, China) ,  Dong Hongwei (Center for Integrative Connectomics, Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA) ,  Hawrylycz Michael (Allen Institute for Brain Science, Seattle, WA, USA) ,  Zeng Hongkui (Allen Institute for Brain Science, Seattle, WA, USA) ,  Peng Hanchuan (SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China) ,  Peng Hanchuan (Allen Institute for Brain Science, Seattle, WA, USA)
資料名： Nature Methods  (Nature Methods)
巻： 19  号： 1  ページ： 111-118  発行年： 2022年 
JST資料番号： W1413A  ISSN： 1548-7091  資料種別： 逐次刊行物 (A)
記事区分： 原著論文  発行国： ドイツ (DEU)  言語： 英語 (EN)

抄録/ポイント： 最近の全脳マッピングプロジェクトは,連続2光子トモグラフィー,蛍光マイクロ光学分割トモグラフィー,光シート蛍光顕微鏡,同期オンザフライスキャンによる体積イメージング,および読出しまたは磁気共鳴映像法のようなモダリティを用いて,大規模三次元画像を収集する。これらの多次元全脳画像の標準アトラスへのレジストレーションは,ニューロンタイプを特性化し,脳配線図を構築するために必須である。しかし,クロスモーダル画像記録は,異なる試料調製法及びイメージング様式から生じる脳解剖学及びアーチファクトの固有変化により困難である。交差モードレジストレーション法,mBrainAlignerを導入し,コヒーレントランドマークマッピングと深層ニューラルネットワークを用いて,全マウス脳画像を標準Allen Communic Commet Frain Atlassに整列させた。単細胞マッピングを容易にするために,蛍光マイクロ光学分割トモグラフィーモダリティのための脳アトラスを構築し,三次元単一ニューロン形態とニューロン細胞型の全体の脳マップを生成するために,著者らの方法を用いて,異なるモダリティで画像化された全マウス脳に対する交差様式登録プラットフォームである。さらに,蛍光マイクロ光学分割トモグラフィーに基づくマウス脳アトラスを作製した。Copyright The Author(s), under exclusive licence to Springer Nature America, Inc. 2021 Translated from English into Japanese by JST.【JST・京大機械翻訳】

シソーラス用語： 蛍光 ,  *コヒーレンス ,  ニューロン ,  画像処理 ,  高次元 ,  三次元 ,  トモグラフィー ,  NMRイメージング ,  蛍光顕微鏡 ,  アーチファクト
準シソーラス用語： 三次元画像 ,  アトラス ,  モダリティ ,  脳画像 ,  単一細胞 , 【Automatic Indexing@JST】

分類 (1件)： 中枢神経系  (EJ12030F)

タイトルに関連する用語 (2件)： マウス ,  脳