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High Spatiotemporal Resolution Neural Recording System Using Active Sensing

使用主动传感的高时空分辨率神经记录系统

基本信息

批准号：
10481444
负责人：
Youbo Zhao
金额：
$ 89.03万
依托单位：
PHYSICAL SCIENCES, INC
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-05-01 至 2024-02-28
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10481444
关键词：
Action Potentials Animals Architecture Base of the Brain Brain Calcium Cellular Structures Collaborations Complex Computer software Data Data Collection Dendrites Detection Devices Electronics Electrophysiology (science)Engineering Feedback Fiber Fluorescence Future Generations Head Human Image Imaging Device Imaging technology In Vitro Institutes Investigation Kinetics Label Laboratory Research Light Marketing Measures Membrane Potentials Mental disorders Microscope Neurons Neurosciences Neurosciences Research Noise Optics Performance Phase Population Preparation Publishing Research Resolution Scientist Signal Transduction Slice Speed Structure Synapses System Technology Test Result Testing Universities Update Wisconsin base brain research cognitive function college commercialization cost design detector experimental study fluorescence imaging imager imaging approach improved in vivo innovation instrument interest microscopic imaging millisecond multidisciplinary nervous system disorder neural network neuronal cell body neurotransmission novel novel imaging technique operation optical imaging performance tests physical science programs prototype quasar relating to nervous system research and development sensor spatiotemporal submicron success temporal measurement tool voltage voltage sensitive dye

项目摘要

Project Summary/Abstract The investigation of the complex neural dynamics and the cognitive functions of the brain requires non- invasive recording tools with high spatial and temporal resolution. Fluorescence imaging/microscopy is one of the state-of-the-art technologies for high spatial resolution recording of the activity of neuron populations. However, existing fluorescence neural imaging technologies generally have limited speed, providing less than a few hundred frames per second (or several milliseconds temporal resolution). This is not only limited by the technology barriers (e.g. the low speed of cameras and/or beam scanners), but also constrained by the low signal level emitted by the delicate micro-scale neuronal structures. The milliseconds or slower temporal resolution substantially precludes measuring the precise timing of the generation and propagation of neuron spikes, which is the key component of neural signaling. During this R&D program, Physical Sciences Inc. (PSI), Dartmouth College, and the Broad Institute of MIT and Harvard propose to develop and demonstrate a novel fluorescence neural imaging technology that enables high-speed recording of membrane potentials from multiple neurons. This technology combines two complementary imaging channels to achieve parallel neuronal recording with both sub-micron spatial and sub-millisecond temporal resolution. The high-speed recording function is achieved using a novel imaging technique based on a high-sensitivity single-point detector and a high-speed spatial light modulator (SLM). During the Phase I, we demonstrated the feasibility of the technology by imaging cultured neurons labeled with calcium and voltage indicating fluorescent sensors. During the proposed Phase II, we will upgrade the technology and further demonstrate its value in neuroscience investigations. The Phase II prototypes will include a universal high spatiotemporal resolution sensor that is compatible with various imaging setups including head-mounted fluorescence mini-microscopes. Two Phase II prototypes will be delivered to collaborating institutes for performance testing. The testing experiments will focus on demonstrating high spatiotemporal resolution recording of fast action potentials from both neuron somas in the brain in vivo and sub-cellular structures (e.g., dendrites and synapses) of neuron cultures or brain slices using genetically encoded voltage sensors. This R&D project will result in a robust technology for non-invasive recording of neuronal kinetics with high spatiotemporal resolution, offering a greatly needed tool in the neuroscience field.

项目总结/文摘