High-speed volumetric imaging of neural activity throughout the living brain
High-speed volumetric imaging of neural activity throughout the living brain
批准号:
9404832
负责人:
NA Ji
金额:
$89.32万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-15 至 2020-06-30
关键词:
AccelerometerAdoptedAdoptionAlgorithmsAnimal ModelAnimalsAxonBiologyBrainBrain imagingCalciumCell NucleusComplexComputer softwareCorpus striatum structureDataData AnalysesData ScienceDendritesDendritic SpinesDimensionsEnsureEventFerretsFluorescenceFluorescence MicroscopyGoalsHeadHypothalamic structureImageImaging technologyIndividualLabelLaboratoriesLateralMeasuresMethodsMicroscopeMonitorMorphologic artifactsMotionMotorMusNeurobiologyNeuronsNeurosciences ResearchOpticsOutputPhotonsPopulationResistanceResolutionScanningSignal TransductionSpeedStructureSynapsesSystemTechniquesTechnologyThickThree-Dimensional ImagingTimeTissue imagingWorkZebrafishadaptive opticsbasebrain tissuebrain volumeexperiencefluorescence microscopeflyfunctional plasticityimaging modalityin vivolight scatteringmicroendoscopynervous system disorderneural circuitnovel strategiesoperationpreventrelating to nervous systemsensory inputspatiotemporaltemporal measurementtooltwo-photon
中文摘要
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英文摘要
To understand how the brain computes, we need to understand how individual neurons in a circuit integrate
their numerous inputs into output signals, as well as how they work together to encode a sensory input or
execute a motor command in a behaving animal. Circuits and neurons are three-dimensional (3D) and can
extend over hundreds or thousands of microns. Therefore, understanding their operations requires
monitoring their activity at both synaptic and cellular resolution in 3D at image rates that capture all activity
events. Behaving animals present a host of challenges to this goal. Existing 3D imaging technologies suffer
from insufficient volume imaging speed, brain-motion-induced image artifacts, as well as complex
hardware and software implementation. These limitations have prevented their adoption by biology
laboratories and remain a technical barrier for neuroscience research. Successful completion of our proposal
will overcome these limitations and profoundly impact neuroscience research. We recently developed a
Bessel focus scanning technology (BEST) that is easily integrated into existing two-photon microscopes,
resistant to motion artifacts, and have already achieved 30-Hz, synapse-resolving volumetric imaging of
sparsely labelled neuronal populations in a wide variety of model organisms. In this proposal, combining
the expertise of microscopists, biologists, and data scientists, we propose to further optimize BEST to
enable high-speed, high-throughput, and high-resolution volumetric activity recording of both sparsely and
densely labelled circuits throughout the living brain. We aim to record whole-brain activity in the fly at >10
Hz and through-cortex volume imaging in the mouse at ~2Hz. By combining BEST with microendoscopy,
we aim to achieve synaptic-resolution volumetric microendoscopic imaging at 30 Hz and use it to study
structural and functional plasticity in deeply buried nuclei of the mouse brain. By correcting brain-induced
optical aberrations, adaptive optics will enable BEST to maintain synapse resolution throughout the entire
mouse cortex. Easily adoptable, BEST has already been integrated into multiple two-photon fluorescence
microscopes in laboratories worldwide. With a continuously expanding user base, the proposed
optimization project will immediately benefit a wide range of laboratories, allowing them to study
volumetric neural activity at unprecedented high spatiotemporal resolution throughout the living brain.
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依托单位:
海外基金