A standardized head-fixation system for performing large-scale, in vivo physiological recordings in mice
A standardized head-fixation system for performing large-scale, in vivo physiological recordings in mice
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DOI：
10.1016/j.jneumeth.2020.108922
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发表时间：
2020-12-01
影响因子：
3
通讯作者：
Farrell, C.
中科院分区：
文献类型：
--
作者：
Groblewski, P. A.;Sullivan, D.;Farrell, C.
背景资料：艾伦研究所最近建立了一套高通量实验管道，以收集清醒、头部固定小鼠视觉皮层生理活动的全面体内调查。开发这些大规模的工业管道带来了许多科学、运营和工程方面的挑战。新方法：我们创建跨平台参考空间（所有管道数据集都映射到该参考空间）的策略需要开发1）坚固的井架，2）可重复的夹紧系统，3）围绕与参考工件的精确对准而构建和维护的数据收集系统。当与我们的管道夹紧系统配合使用时，我们的井架超过了偏转和再现性要求。通过利用我们的头架和夹持系统，我们能够创建一个跨平台的参考空间，多模态成像数据集可以映射到该空间。与现有方法的比较：艾伦Brain Observatory头架、手术工具、夹持系统和系统配准策略共同创建了一个独特的系统，用于长时间收集大量标准化体内数据集。此外，跨平台注册的集成方法允许多模态数据集被收集在一个共享的referencespaces.Conclusions：在这里，我们报告的工程策略，我们实施时，创建的艾伦脑天文台生理管道。与头架、手术工具和夹钳设计相关的所有文件均可免费获得，并且易于制造或采购。本报告中描述的工程策略或策略组件可由外部研究人员定制和应用，以提高数据标准化和稳定性。
Background: The Allen Institute recently built a set of high-throughput experimental pipelines to collect comprehensive in vivo surveys of physiological activity in the visual cortex of awake, head-fixed mice. Developing these large-scale, industrial-like pipelines posed many scientific, operational, and engineering challenges.New method: Our strategies for creating a cross-platform reference space to which all pipeline datasets were mapped required development of 1) a robust headframe, 2) a reproducible clamping system, and 3) data-collection systems that are built, and maintained, around precise alignment with a reference artifact.Results: When paired with our pipeline clamping system, our headframe exceeded deflection and reproducibility requirements. By leveraging our headframe and clamping system we were able to create a cross-platform reference space to which multi-modal imaging datasets could be mapped.Comparison with existing methods: Together, the Allen Brain Observatory headframe, surgical tooling, clamping system, and system registration strategy create a unique system for collecting large amounts of standardized in vivo datasets over long periods of time. Moreover, the integrated approach to cross-platform registration allows for multi-modal datasets to be collected within a shared reference space.Conclusions: Here we report the engineering strategies that we implemented when creating the Allen Brain Observatory physiology pipelines. All of the documentation related to headframe, surgical tooling, and clamp design has been made freely available and can be readily manufactured or procured. The engineering strategy, or components of the strategy, described in this report can be tailored and applied by external researchers to improve data standardization and stability.