High-speed volumetric imaging of neuronal network activity at depth using Multiplexed Scanned Temporal Focusing (MuST)

使用多重扫描时间聚焦 (MuST) 对深度神经元网络活动进行高速体积成像

基本信息

批准号：
9011561
负责人：
Alipasha Vaziri
金额：
$ 77.14万
依托单位：
ROCKEFELLER UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-30 至 2018-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9011561
关键词：
Address Animal Model Area Biological Neural Networks Brain Brain imaging Calcium Cells Characteristics Communities Complex Cortical Column Data Devices Drosophila genus Face Functional Imaging Goals Health Hippocampal Formation Hippocampus (Brain)Human Image Image Analysis Imaging technology Instruction Internet Lasers Light Mechanics Methods Microscope Microscopy Monitor Mus Names Neurons Neurosciences Optics Performance Photons Physiologic pulse Physiological Population Population Dynamics Resolution Rodent Sampling Scanning Slice Source Code Speed System Techniques Technology Time Tissue Sample Tissues Universities Zebrafish base brain tissue calcium indicator density design imaging modality imaging system improved in vivo information processing insight instrumentation novel open source operation optical imaging prototype relating to nervous system temporal measurement tool tool development two-photon usability web site

项目摘要

DESCRIPTION (provided by applicant): We propose to design and build a device that will push the boundaries of existing technology for imaging the activity of large-scale neuronal networks at high speed and single cell resolution. This will be done by using a Multiplexed Scanned Temporal Focusing (MuST) strategy in combination with laser systems with optimized pulse characteristics. Our approach will enable unbiased calcium imaging of unprecedentedly large V-FOVs (500x500x500um at 20Hz, or 1x1x0.7mm at 3Hz) at multi-hertz time resolution. Such an imaging system has the potential to revolutionize neuroscience, providing, for the first time, the ability to monitor the dynamics of network activity of tens of thousands of neurons near-simultaneously. In the mammalian cortex this capability provides the opportunity to gain insights into the computational principles for information processing as it will allow capturing an correlating the dynamics of the network activity across cortical layers. Our technology will be developed through an iterative and in a user-led fashion with our collaborator at Columbia University where it will be made accessible to the neuroscience community. The dissemination of this technique will be further facilitated by providing a dedicated website including open source code and detailed list of materials and instructions for its design and operation.

描述（由申请人提供）：我们建议设计和构建一种设备，该设备将突破现有技术的界限，以高速和单细胞分辨率对大规模神经网络的活动进行成像，这将通过使用多重扫描来完成。时间聚焦 (MuST) 策略与具有优化脉冲特性的激光系统相结合，我们的方法将实现前所未有的大 V-FOV（20Hz 时为 500x500x500um，或 1x1x0.7mm (3Hz) 的多赫兹时间分辨率，这种成像系统有可能彻底改变神经科学，首次提供近乎同时监测数万个神经元网络活动动态的能力。在哺乳动物皮质中，这种能力提供了深入了解信息处理的计算原理的机会，因为它将允许捕获跨皮质层的网络活动的动态相关性，我们的技术将通过迭代和迭代的方式开发。我们与哥伦比亚大学的合作者共同开发了用户主导的时尚，通过提供一个专门的网站（包括开源代码和详细的材料列表以及其设计和说明），将进一步促进该技术的传播。手术。