Real-time Aberration Sensor for Large-Scale Microscopy Deep in the Mouse and Adult Zebrafish Brain
Real-time Aberration Sensor for Large-Scale Microscopy Deep in the Mouse and Adult Zebrafish Brain
批准号:
10166305
负责人:
Steven Graham Adie
金额:
$198.23万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2025-04-30
关键词:
AddressAdultAlgorithmsBiologicalBiological ProcessBrainBrain DiseasesBrain imagingBrain regionBudgetsCalibrationCellsCerebellumConsumptionFinancial compensationFluorescenceGoalsHybridsImageImaging TechniquesImaging technologyIndividualLabelLasersMapsMethodsMicroscopeMicroscopyModalityMorphologic artifactsMotionMusNeuronsNeurosciencesNeurosciences ResearchNoiseOptical Coherence TomographyOpticsPenetrationPhasePhotobleachingPhotonsPhototoxicityPhysiologic pulsePopulationPositioning AttributeProceduresPupilResearchResolutionSamplingShapesSignal TransductionSourceSpecificitySpeedStructureSystemTechniquesTechnologyTimeTissuesTrainingZebrafishadaptive opticsawakebasebiological systemsbrain tissuedata acquisitiondentate gyrusdigitalimaging approachimaging studyimaging systemin vivointerestmicroscopic imagingmouse modelmultimodalitymultiphoton microscopynoveloptical imagingparallel computerparallel processingprogramsrelating to nervous systemsensorspatiotemporalsuperior colliculus Corpora quadrigeminathree photon microscopytwo photon microscopy
中文摘要
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英文摘要
ABSTRACT
Optical imaging holds tremendous promise in our endeavor to understand brain functions. The major challenges
for optical brain imaging are depth and speed. Due to optical aberrations and tissue scattering, the penetration
depth and imaging speed of optical microscopy in the brains (e.g., mouse) is limited. The constraints in depth
and speed make large-scale, deep imaging of mouse brain activity out of reach of current imaging techniques.
Hardware adaptive optics (AO) has proven to be valuable for in vivo brain imaging with two-photon microscopy
(2PM), and will have even larger impact for deep brain 3-photon microscopy (3PM); however, existing AO
techniques require iterative optimization using multiphoton excited fluorescence signal. While adequate for
imaging relatively shallow regions of the brain (< 1 mm deep), iterative optimization is impractical with ultra-deep
imaging since the fluorescence signal deceases exponentially with imaging depth. The required integration time
to obtain the necessary signal-to-noise ratio for iterative optimization becomes prohibitively long. In this program,
we will leverage the advantages provided by computational adaptive optics (CAO) in optical coherence
microscopy (OCM), specifically the strong OCT signal (from linear backscattering), and parallel computing on a
high-end graphics processing unit (GPU), to provide orders of magnitude speed-up for the sensing of
sample-induced aberrations throughout a volume of interest. A long-wavelength OCM system and CAO
aberration sensor will be utilized to drive a hardware AO system to correct depth-dependent aberrations, push
3PM imaging depth beyond currently demonstrated limits, and increase imaging speed by at least one order of
magnitude. Additionally, by combining with recently developed adaptive excitation laser technology, we will
achieve approximately 300-fold increase in photon budget, which will enable truly unprecedented 3PM imaging
speed and depth. Successful completion of this program will enable rapid aberration sensing at the depth range
of 1 to 2 mm, and will open the exciting new opportunity of recording the neural activity of the dentate gyrus of
adult mice through the intact brain. With its high-speed and deep-tissue aberration sensing capability, and zero
additional photobleaching and phototoxicity, our novel method for real-time aberration sensing and correction is
ideally positioned to transform our ability for large-scale, deep recording of mouse and adult zebrafish brain
activity. This imaging approach will significantly extend the information available for neuroscience studies on
individual cell-cell as well as circuit interactions that underlie normal and diseased brain function. The technology
developed by this proposal will be applicable to imaging in other biological systems where large-scale, deep
imaging at high spatiotemporal resolution is needed.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Simultaneous multimodal three-photon and optical coherence microscopy of the mouse brain in the 1700 nm optical window in vivo.
在体内 1700 nm 光学窗口中同时进行多模态三光子和光学相干显微镜观察小鼠大脑。
DOI:
10.1101/2023.09.11.557176
发表时间:
2023
期刊:
bioRxiv : the preprint server for biology
影响因子:
--
作者:
[Yang,Xusan, Liu,Siyang, Xia,Fei, Wu,Meiqi, Adie,Steven, Xu,Chris]
通讯作者:
Xu,Chris
Investigation of multiple scattering in space and spatial-frequency domains: with application to the analysis of aberration-diverse optical coherence tomography
空间和空间频率域中多重散射的研究:应用于像差多样化光学相干断层扫描分析
DOI:
10.1364/boe.439395
发表时间:
2021
期刊:
Biomedical Optics Express
影响因子:
3.4
作者:
[Wu, Meiqi, Liu, Siyang, Leartprapun, Nichaluk, Adie, Steven]
通讯作者:
Adie, Steven
DOI:
10.1038/s41598-021-99889-3
发表时间:
2021-10-15
期刊:
Scientific reports
影响因子:
4.6
作者:
[Leartprapun N, Adie SG]
通讯作者:
Adie SG
Overcoming the Multiple Scattering Limit in Optical Coherence Tomography
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批准号:10446063
-
项目类别:
-
资助金额:$37.8万
-
财政年份:2022
-
负责人:Steven Graham Adie
-
依托单位:
Overcoming the Multiple Scattering Limit in Optical Coherence Tomography
-
批准号:10634673
-
项目类别:
-
资助金额:$34.64万
-
财政年份:2022
-
负责人:Steven Graham Adie
-
依托单位:
Ultrahigh-Resolution Quantitative Optical Coherence Elastography of the Tumor Microenvironment In Vivo
-
批准号:10225877
-
项目类别:
-
资助金额:$40.06万
-
财政年份:2021
-
负责人:Steven Graham Adie
-
依托单位:
Volumetric time-lapse imaging of biophysical cell-extracellular matrix interactions for systems mechanobiology research
-
批准号:10165754
-
项目类别:
-
资助金额:$39.81万
-
财政年份:2019
-
负责人:Steven Graham Adie
-
依托单位:
Volumetric time-lapse imaging of biophysical cell-extracellular matrix interactions for systems mechanobiology research
-
批准号:10399569
-
项目类别:
-
资助金额:$39.8万
-
财政年份:2019
-
负责人:Steven Graham Adie
-
依托单位:
Volumetric time-lapse imaging of biophysical cell-extracellular matrix interactions for systems mechanobiology research
-
批准号:10389834
-
项目类别:
-
资助金额:$8.91万
-
财政年份:2019
-
负责人:Steven Graham Adie
-
依托单位:
海外基金