Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Matthias Klumpp, Lee Embray, Filippo Heimburg, Ana Luiza Alves Dias, Justus Simon, Alexander Groh, Andreas Draguhn, Martin Both
{"title":"Syntalos: a software for precise synchronization of simultaneous multi-modal data acquisition and closed-loop interventions","authors":"Matthias Klumpp, Lee Embray, Filippo Heimburg, Ana Luiza Alves Dias, Justus Simon, Alexander Groh, Andreas Draguhn, Martin Both","doi":"10.1038/s41467-025-56081-9","DOIUrl":null,"url":null,"abstract":"<p>Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual experimental setups and lack flexibility and interoperability. We present an open-source, Linux-based integrated software solution, called ‘Syntalos’, for simultaneous acquisition and synchronization of data from an arbitrary number of sources, including multi-channel electrophysiological recordings and different live imaging devices, as well as closed-loop, real-time interventions with different actuators. Precisely matching timestamps for all inputs are ensured by continuous statistical analysis and correction of individual devices’ timestamps. New data sources can be integrated with minimal programming skills. Data is stored in a comprehensively structured format to facilitate pooling or sharing data between different laboratories. Syntalos enables precisely synchronized multi-modal recordings as well as closed-loop interventions for multiple experimental approaches. Preliminary neuroscientific experiments on mice with different research questions show the successful performance and easy-to-learn structure of the software suite.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"3 1","pages":""},"PeriodicalIF":14.7000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-56081-9","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Complex experimental protocols often require multi-modal data acquisition with precisely aligned timing, as well as state- and behavior-dependent interventions. Tailored solutions are mostly restricted to individual experimental setups and lack flexibility and interoperability. We present an open-source, Linux-based integrated software solution, called ‘Syntalos’, for simultaneous acquisition and synchronization of data from an arbitrary number of sources, including multi-channel electrophysiological recordings and different live imaging devices, as well as closed-loop, real-time interventions with different actuators. Precisely matching timestamps for all inputs are ensured by continuous statistical analysis and correction of individual devices’ timestamps. New data sources can be integrated with minimal programming skills. Data is stored in a comprehensively structured format to facilitate pooling or sharing data between different laboratories. Syntalos enables precisely synchronized multi-modal recordings as well as closed-loop interventions for multiple experimental approaches. Preliminary neuroscientific experiments on mice with different research questions show the successful performance and easy-to-learn structure of the software suite.

Abstract Image

Syntalos:一款用于同步多模态数据采集和闭环干预的精确同步软件
复杂的实验方案往往需要多模态数据采集与精确对齐的时间,以及状态和行为相关的干预。量身定制的解决方案大多局限于单独的实验设置,缺乏灵活性和互操作性。我们提出了一个开源的,基于linux的集成软件解决方案,称为“Syntalos”,用于同时采集和同步来自任意数量来源的数据,包括多通道电生理记录和不同的实时成像设备,以及具有不同执行器的闭环实时干预。通过对单个设备的时间戳进行连续的统计分析和校正,确保所有输入的时间戳精确匹配。可以用最少的编程技巧集成新的数据源。数据以全面的结构化格式存储,以便于在不同实验室之间汇集或共享数据。Syntalos能够精确同步的多模态记录以及多种实验方法的闭环干预。针对不同研究问题的小鼠进行的初步神经科学实验表明,该软件套件的性能良好,结构易于学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信