Sizing up whole-brain neuronal tracing  

全脑神经元解析技术的评议

作　　者：Giorgio A.Ascoli Bing-Xing Huo Partha P.Mitra 

机构地区：[1]Bioengineering Department,Volgenau School of Engineering&Center for Neural Informatics,Krasnow Institutes for Advanced Study,George Mason University,Virginia 22030,USA [2]Cold Spring Harbor Laboratory,Cold Spring Harbor 11724,USA

出　　处：《Science Bulletin》2022年第9期883-884,M0003,共3页科学通报（英文版）

基　　金：supported by the National Institutes of Health grants(R01NS39600,U01MH114829,R01NS86082,and RF1MH128693)。

摘　　要：After an initial golden age typified by Cajal’s morphological classification of neuronal types based on Golgi’s stain at the turn of the twentieth century,followed by relative doldrums a few decades ago,Neuroanatomy has recently undergone a renaissance,driven by exponential decreases in storage and computing costs as well as major advances in biochemistry and microscopic techniques.This can be seen through citations of the term“connectomics”recently coined to denote the study of neuroanatomical connectivity,which retrieves nearly 8000 hits in PubMed and over 20,000 in Google Scholar in the 15 years since the term appeared in print[1].It is broadly recognized that regional connectivity at the mesoscopic scale underlies distributed brain function and single neuron axonal projections underlie mesoscale connectivity[2,3].

关 键 词：CONNECTIVITY EXPONENTIAL 解析技术 

分 类 号：Q421[生物学—神经生物学]