SCAPE microscopy for high-speed in-vivo volumetric microscopy in behaving organisms

SCAPE 显微镜用于行为生物体的高速体内体积显微镜

基本信息

项目摘要

 DESCRIPTION (provided by applicant): Despite the growing availability of optical markers of neuronal activity, as well as genetic tools for optical manipulation, current optical microscopy techniques for imaging the intact brain at cellular resolution have approached their limits, particularly in terms of 3D volumetric imaging speeds. The brain and nervous system is inherently 3D, with cortical layers playing specific roles in information processing. Small organisms such as Drosophila melanogaster (fruit fly), Danio rerio (zebrafish) and Caenorhabditis elegans, have become valuable platforms for neuroscience research and genetic manipulation, and offer the chance to capture the entire nervous system of a complete, behaving organism. However, for both rodent brain and small organism microscopy, current techniques are limited to slow volumetric imaging rates, or single-plane acquisition. We recently developed a transformative new approach to high speed 3D microscopy called Swept, Confocally-Aligned Planar Excitation (SCAPE) microscopy. SCAPE was conceived as a way to dramatically improve volumetric imaging speeds, while maintaining a simple optical layout and image acquisition geometry. SCAPE is a hybrid between light-sheet microscopy and laser scanning confocal which overcomes the major speed barriers of both techniques. Recently published in Nature Photonics, SCAPE can image at volume rates 10-100 x faster than laser scanning microscopy or fast light-sheet imaging. We have demonstrated imaging of cellular-level structure and function in both the awake, behaving rodent brain and freely moving Drosophila melanogaster larvae at 10-20 volumes per second (VPS) over large fields of view. A further feature of SCAPE is its simple, single, stationary objective, permitting 3D imaging with no motion at the sample, making it well suited for integration with pattered optogenetic manipulation of cells during high-speed 3D imaging. Having achieved `proof of concept' we now wish to develop SCAPE into a tool for routine use by neuroscientists working in both small organisms, for in-toto imaging of cellular activity and behavior, and in awake, behaving mouse brain. The former will be achieved through development and translation of an improved beta prototypes `1P-SCAPE' system, with development of user friendly acquisition software, data handling and analysis platforms, and ultimately its deployment and support for use in studies of somatosensory integration in adult and larval Drosophila. For mouse brain imaging, we propose to test the limits of SCAPE by exploring two- photon implementation (2P-SCAPE), which will afford deeper penetration imaging into scattering tissues such as the rodent brain.


项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(8)
Neuromuscular basis of Drosophila larval rolling escape behavior.
果蝇幼虫滚动逃生行为的神经肌肉基础。
The mesencephalic locomotor region recruits V2a reticulospinal neurons to drive forward locomotion in larval zebrafish.
  • DOI:
    10.1038/s41593-023-01418-0
  • 发表时间:
    2023-10
  • 期刊:
  • 影响因子:
    25
  • 作者:
    Carbo-Tano, Martin;Lapoix, Mathilde;Jia, Xinyu;Thouvenin, Olivier;Pascucci, Marco;Auclair, Francois;Quan, Feng B.;Albadri, Shahad;Aguda, Vernie;Farouj, Younes;Hillman, Elizabeth M. C.;Portugues, Ruben;Del Bene, Filippo;Thiele, Tod R.;Dubuc, Rejean;Wyart, Claire
  • 通讯作者:
    Wyart, Claire
The spatial and temporal structure of neural activity across the fly brain.
  • DOI:
    10.1038/s41467-023-41261-2
  • 发表时间:
    2023-09-11
  • 期刊:
  • 影响因子:
    16.6
  • 作者:
    Schaffer ES;Mishra N;Whiteway MR;Li W;Vancura MB;Freedman J;Patel KB;Voleti V;Paninski L;Hillman EMC;Abbott LF;Axel R
  • 通讯作者:
    Axel R
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling.
通过混合建模对斑马鱼脑钙图像的时间序列数据进行全体积聚类。
  • DOI:
    10.1002/sam.11366
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    1.3
  • 作者:
    Nguyen,HienD;Ullmann,JeremyFP;McLachlan,GeoffreyJ;Voleti,Venkatakaushik;Li,Wenze;Hillman,ElizabethMC;Reutens,DavidC;Janke,AndrewL
  • 通讯作者:
    Janke,AndrewL
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Elizabeth M. C. Hillman其他文献

Elizabeth M. C. Hillman的其他文献

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{{ truncateString('Elizabeth M. C. Hillman', 18)}}的其他基金

Cell type atlasing of whole human brains using HOLiS: an optimized pipeline for staining, clearing, imaging, and analysis
使用 HOLiS 对整个人脑进行细胞类型图谱分析:用于染色、透明化、成像和分析的优化流程
  • 批准号:
    10377810
  • 财政年份:
    2021
  • 资助金额:
    $ 50.48万
  • 项目类别:
Characterizing long-range cortical and subcortical dynamics in relation to corticospinal output and motor control
表征与皮质脊髓输出和运动控制相关的长程皮质和皮质下动力学
  • 批准号:
    10224732
  • 财政年份:
    2017
  • 资助金额:
    $ 50.48万
  • 项目类别:
Characterizing long-range cortical and subcortical dynamics in relation to corticospinal output and motor control
表征与皮质脊髓输出和运动控制相关的长程皮质和皮质下动力学
  • 批准号:
    9983207
  • 财政年份:
    2017
  • 资助金额:
    $ 50.48万
  • 项目类别:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
静息态连接映射的神经元和代谢基础成像
  • 批准号:
    8717740
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
静息态连接映射的神经元和代谢基础成像
  • 批准号:
    8320127
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
静息态连接映射的神经元和代谢基础成像
  • 批准号:
    8902277
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
ADVANCES IN OPTICS FOR BIOTECHNOLOGY, MEDICINE AND SURGERY CONFERENCE XII
第十二届生物技术、医学和外科光学会议的进展
  • 批准号:
    8062907
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
静息态连接映射的神经元和代谢基础成像
  • 批准号:
    8222238
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
Imaging the neuronal and metabolic basis of resting state connectivity mapping
静息态连接映射的神经元和代谢基础成像
  • 批准号:
    8514742
  • 财政年份:
    2011
  • 资助金额:
    $ 50.48万
  • 项目类别:
In-vivo optical imaging of neurovascular coupling and cerebral metabolism
神经血管耦合和脑代谢的体内光学成像
  • 批准号:
    7874281
  • 财政年份:
    2008
  • 资助金额:
    $ 50.48万
  • 项目类别:

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