{"title":"突触连接组学:现状与展望","authors":"Davi D. Bock","doi":"10.1038/s41583-025-00957-8","DOIUrl":null,"url":null,"abstract":"High-throughput volume electron microscopy and deep learning-driven automated segmentation have revolutionized the mapping of neural circuits at the level of individual neurons and synapses, revealing new cell types and unexpected network architectures in diverse species. Although prospects for continued progress in connectomics are excellent, substantial technical and conceptual hurdles remain.","PeriodicalId":49142,"journal":{"name":"Nature Reviews Neuroscience","volume":"26 10","pages":"581-582"},"PeriodicalIF":26.7000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synaptic connectomics: status and prospects\",\"authors\":\"Davi D. Bock\",\"doi\":\"10.1038/s41583-025-00957-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"High-throughput volume electron microscopy and deep learning-driven automated segmentation have revolutionized the mapping of neural circuits at the level of individual neurons and synapses, revealing new cell types and unexpected network architectures in diverse species. Although prospects for continued progress in connectomics are excellent, substantial technical and conceptual hurdles remain.\",\"PeriodicalId\":49142,\"journal\":{\"name\":\"Nature Reviews Neuroscience\",\"volume\":\"26 10\",\"pages\":\"581-582\"},\"PeriodicalIF\":26.7000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Reviews Neuroscience\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s41583-025-00957-8\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Reviews Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41583-025-00957-8","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
High-throughput volume electron microscopy and deep learning-driven automated segmentation have revolutionized the mapping of neural circuits at the level of individual neurons and synapses, revealing new cell types and unexpected network architectures in diverse species. Although prospects for continued progress in connectomics are excellent, substantial technical and conceptual hurdles remain.
期刊介绍:
Nature Reviews Neuroscience is a multidisciplinary journal that covers various fields within neuroscience, aiming to offer a comprehensive understanding of the structure and function of the central nervous system. Advances in molecular, developmental, and cognitive neuroscience, facilitated by powerful experimental techniques and theoretical approaches, have made enduring neurobiological questions more accessible. Nature Reviews Neuroscience serves as a reliable and accessible resource, addressing the breadth and depth of modern neuroscience. It acts as an authoritative and engaging reference for scientists interested in all aspects of neuroscience.