Automated microscope platform with improved imaging and accurate neuron reconstruction capabilities for high-throughput studies of neuroregeneration
Automated microscope platform with improved imaging and accurate neuron reconstruction capabilities for high-throughput studies of neuroregeneration
批准号:
10626683
负责人:
Samuel Hue-Kay Chung
金额:
$49.45万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-08-01 至 2024-07-31
关键词:
AddressAlgorithmsAutomationBenchmarkingCaenorhabditis elegansCell physiologyCellsComputersDataData SetData Storage and RetrievalDevelopmentDevicesEquipment and supply inventoriesFeedbackFiberGene ExpressionGenesGeneticGoalsHealthcareImageImage EnhancementIndividualInjuryInvertebratesInvestigationKnowledgeLaser SurgeryLesionLightLightingLocationMachine LearningManualsMapsMedicalMicroscopeMicroscopyMissionModelingMorphologyNational Institute of Neurological Disorders and StrokeNatural regenerationNematodaNerve RegenerationNervous system structureNeuraxisNeuritesNeuronsOperative Surgical ProceduresOptic NerveOptical MethodsOutcomePathway interactionsPeripheralProcessPublic HealthPublicationsQuality of lifeRegenerative capacityRegenerative pathwayRegenerative researchResearchResolutionRoleSamplingSpinal CordSpinal cord injurySystemTechniquesTestingThree-Dimensional ImageTimeValidationVisualizationWorkautoencodercell growth regulationcentral nervous system injurycomputerized data processingconditioningcontrast enhancedcontrast imagingdigitalexperimental studyhealingimage processingimprovedin vivoinnovationinsightnervous system disordernovelreal-time imagesreconstructionregenerative therapyrepairedtherapeutic targetthree-dimensional modeling
中文摘要
项目总结/摘要
哺乳动物的中枢神经系统在受伤后通常无法再生,导致无法治愈的情况
巨大的医疗负担。一个例外是一个显着的效果称为损伤条件反射,其中损伤
神经元的外周纤维激活细胞过程,大大增强神经再生。利用这一
用于治疗的“条件”形式的再生需要对其潜在机制的清楚理解,
尽管在哺乳动物系统中进行了大量的研究,但仍然缺乏这种能力。具体来说,就是知识差距
关于神经元类型、形态和连接对再生的影响。一种体内方法,
沃姆角elegans可以通过飞秒激光揭示条件再生的细胞机制
手术和单神经纤维的高精度显微镜检查。在蠕虫中发现的三个基因也
调节哺乳动物损伤条件反射,表明这种方法可以发现关键的保守的
机制等尽管这种方法在检查单个基因或机制方面是有效的,但它的手册
执行排除了它定义跨多个神经元类型和手术位置的再生能力。
因此,迫切需要加速成像和激光手术以全面研究再生。
拟议项目的总体目标是优化自动化显微镜平台并对其进行验证
通过广泛测试C. elegans为条件再生。该项目的基本原理是
自动化平台将允许目前不切实际但需要的大规模再生研究
来全面绘制再生路径这些目标将通过以下具体目标来实现:1)提高
成像对比度以允许神经突的计算机可视化。2)开发实时机器学习方法
用于自动神经元重建。3)评估C.
优雅Work for Aim 1将控制样品照明,并应用新颖的实时图像处理技术,
提高神经元和其背景之间的对比度。在目标2中,这些改进的图像将被可逆地
压缩、计算增强、重建成神经元模型并注释用于手术。在Aim中
3,该集成平台将用于在C中的许多神经元类型中进行手术和重新成像神经突。
elegans研究再生中关键基因的作用。拟议项目的创新方面包括:
用于病变调节的无脊椎动物模型,用于改善成像对比度的新光学方法,以及
用于实时神经元重建的机器学习技术。拟议工作组的预期成果
这项研究是对决定能力的基本遗传和细胞机制的深入了解,
执行条件再生和高通量自动化显微镜平台的验证
成像和手术。这些结果意义重大,因为它们将确立重要的再生驱动力
在中枢神经系统,包括潜在的治疗目标,可以有效地治疗目前
无法治愈的损伤和神经系统疾病。
英文摘要
Project Summary/Abstract
The mammalian central nervous system typically fails to regenerate after injury, leading to incurable conditions
with immense healthcare burdens. An exception is a remarkable effect called lesion conditioning, where injury
to a neuron’s peripheral fiber activates cellular processes to greatly enhance neuroregeneration. Exploiting this
“conditioned” form of regeneration for therapy requires a clear understanding of its underlying mechanisms,
which is still lacking despite intense research in mammalian systems. Specifically, there is a knowledge gap
regarding the impact of neuron type, morphology, and connectivity on regeneration. An in vivo approach in the
worm C. elegans can reveal the cellular mechanisms underlying conditioned regeneration by femtosecond laser
surgery and high-precision microscopy of single neuronal fibers. Three genes identified in the worm also
modulate mammalian lesion conditioning, demonstrating that this approach can discover key conserved
mechanisms. Even though this approach is effective at examining single genes or mechanisms, its manual
execution precludes it from defining regenerative capacity across multiple neuron types and surgery locations.
Thus, there is a critical need to accelerate imaging and laser surgery to comprehensively study regeneration.
The overall objectives of the proposed project are to optimize an automated microscope platform and validate it
by broadly testing many neuron types in C. elegans for conditioned regeneration. The rationale for this project is
that an automated platform will permit large-scale regeneration studies that are currently impractical but required
to fully map regenerative pathways. The objectives will be achieved by the following Specific Aims: 1) Improve
image contrast to permit computer visualization of neurites. 2) Develop a real-time machine learning approach
for automated neuron reconstruction. 3) Assess regenerative capacity in a broad range of neuron types in C.
elegans. Work for Aim 1 will control the sample illumination and apply novel, real-time image processing to
improve the contrast between neurons and their background. In Aim 2, these improved images will be reversibly
compressed, computationally enhanced, reconstructed into a neuron model, and annotated for surgery. In Aim
3, the integrated platform will be used to perform surgery and reimage neurites in many neuron types in C.
elegans to examine the role of key genes in regeneration. Innovative aspects of the proposed project include:
an invertebrate model for lesion conditioning, new optical methods for improving imaging contrast, and novel
machine learning techniques for real-time neuronal reconstruction. The expected outcomes of the proposed
study are deep insights into the fundamental genetic and cellular mechanisms that determine the ability to
execute conditioned regeneration and the validation of an automated microscope platform for high throughput
imaging and surgery. These results are significant because they will establish important drivers of regeneration
in the central nervous system, including potential therapeutic targets that could effectively treat currently
incurable injuries and diseases of the nervous system.
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会议论文
Novel wedge-based approach for simultaneous multichannel microscopy
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批准号:8781277
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项目类别:
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资助金额:$16.03万
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财政年份:2014
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负责人:Samuel Hue-Kay Chung
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依托单位:
海外基金