Optical imaging of neural activity based on the Lorentz effect

基于洛伦兹效应的神经活动光学成像

基本信息

  • 批准号:
    9977534
  • 负责人:
  • 金额:
    $ 39.92万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-04-01 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY / ABSTRACT The development of label-free imaging technologies that directly assess neural activity remains a pressing need. Among a variety of techniques that aim to detect transient signals associated with action potential (AP) propagation, optical techniques have the potential for revealing and locating APs with high spatio- temporal resolution. For instance, differential-phase interferometry and then phase-sensitive measurements of spectral-domain optical coherence tomography (OCT) have allowed us to detect AP- related nanometer-scale transient structural changes from unmyelinated invertebrate axons. To obtain useful tests of nerve function, however, investigations on contrast enhancement methods for both myelinated and unmyelinated nerve fibers are needed. The long term goal of this project is to provide non- contact depth-resolved optical measurements of nerve function that are useful in basic scientific research. The overall objective of this project is to use multi-contrast OCT and contrast enhancement methods for depth-resolved label-free imaging of neural activity in myelinated and unmyelinated nerve models. The hypothesis behind the work is that a properly directed external static magnetic field generates Lorentz force in functioning nerve (due to ionic movements / action currents), which consequently induces a mechanical wave accompanying AP propagation and facilitates the optical imaging of neural activity. Phase-sensitive OCT is well poised to locate such transient signals with sub-nanometer sensitivity. We will also monitor the intensity (reflectivity) and birefringence (retardance) signals as additional indications of neural activity. To achieve the objective of this application, we will pursue optical imaging of neural activity based on Lorentz effect in ex-vivo preparations (Specific Aim 1) and in-vivo visual cortex (Specific Aim 2). With successful completion of the proposed work, we will achieve the following outcomes. The feasibility of using Lorentz effect to aid label-free optical imaging of APs will be revealed. This will also inform people in related imaging fields to determine whether the Lorentz effect imaging is within the capabilities of current technology. If our work is shown to be useful, it will support functional neural investigations in laboratory setting. The results may also suggest more challenging in-vivo applications that require incorporation of active tracking systems for the needed stability.
项目摘要/摘要

项目成果

期刊论文数量(0)
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TANER AKKIN其他文献

TANER AKKIN的其他文献

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{{ truncateString('TANER AKKIN', 18)}}的其他基金

BRAIN CONNECTS: Center for Mesoscale Connectomics
大脑连接:中尺度连接组学中心
  • 批准号:
    10664257
  • 财政年份:
    2023
  • 资助金额:
    $ 39.92万
  • 项目类别:
Label-free optical imaging for human mesoscale connectivity with a focus on deep brain stimulation targets
用于人体中尺度连接的无标记光学成像,重点关注深部脑刺激目标
  • 批准号:
    10443418
  • 财政年份:
    2022
  • 资助金额:
    $ 39.92万
  • 项目类别:
Label-free optical imaging for human mesoscale connectivity with a focus on deep brain stimulation targets
用于人体中尺度连接的无标记光学成像,重点关注深部脑刺激目标
  • 批准号:
    10586107
  • 财政年份:
    2022
  • 资助金额:
    $ 39.92万
  • 项目类别:
Depth-resolved Optical Imaging of Neural Action Potentials
神经动作电位的深度分辨光学成像
  • 批准号:
    8204779
  • 财政年份:
    2010
  • 资助金额:
    $ 39.92万
  • 项目类别:
Depth-resolved Optical Imaging of Neural Action Potentials
神经动作电位的深度分辨光学成像
  • 批准号:
    8022131
  • 财政年份:
    2010
  • 资助金额:
    $ 39.92万
  • 项目类别:
Depth-resolved Optical Imaging of Neural Action Potentials
神经动作电位的深度分辨光学成像
  • 批准号:
    8401905
  • 财政年份:
    2010
  • 资助金额:
    $ 39.92万
  • 项目类别:
Optical Detection of Neural Activity
神经活动的光学检测
  • 批准号:
    7139440
  • 财政年份:
    2006
  • 资助金额:
    $ 39.92万
  • 项目类别:
Optical Detection of Neural Activity
神经活动的光学检测
  • 批准号:
    7286815
  • 财政年份:
    2006
  • 资助金额:
    $ 39.92万
  • 项目类别:
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