Automated Isolation of Single Cells Using High-Resolution and Subcellular Imaging
Automated Isolation of Single Cells Using High-Resolution and Subcellular Imaging
批准号:
9251383
负责人:
Steven Charles Gebhart
金额:
$81.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2019-02-28
关键词:
AchievementAgreementAlgorithmic AnalysisAlgorithmsAutomationBehaviorCell Culture TechniquesCell SeparationCellsCharacteristicsComputer softwareCoupledCouplingDetectionDoctor of PhilosophyElastomersEngineeringExhibitsFluorescenceGenomicsGlassGoalsHuman ResourcesImageImage AnalysisImage EnhancementIncubatorsIndividualInterviewLaboratoriesLettersLinkMagnetismMolecular AnalysisNeedlesNeuronsOpticsOrganellesPerformancePhasePhenotypePhysiologyPlant ResinsPlasticizersPolymersPolystyrenesProductionPropertyProteinsRefractive IndicesReporterResearchResearch PersonnelResolutionRetrievalRunningSignal TransductionSorting - Cell MovementStem cellsSystemTechnologyTestingTimeUniversitiesUpdateValidationVirginiaWorkbasecellular imagingcommercializationcost effectivedesignelastomerichigh resolution imaginghigh throughput screeningimaging capabilitiesimprovedinnovationinstrumentinterestmanufacturing scale-upmicrosystemsnanoparticleneoplastic cellperformance testsphenotypic dataprogramsprototypescreeningsealsingle cell analysisstem cell differentiationtransgene expressionuser-friendly
中文摘要
项目总结:
将细胞的详细表型和表型特征分析与下游的分子生物学分析配对,代表了一种新的方法。
这是一个巨大的挑战,特别是在单细胞水平上。微细胞和微系统已经开发出新的技术,并实现了商业化。
CellRaft™成像系统是目前唯一可以商业化使用的系统,它意味着可以使用Brightfield对细胞进行成像。
和/或在单细胞分离和下游分子生物学分析之前进行多通道荧光检测。
有兴趣将表型DNA数据与基因组DNA分析技术在第一个单细胞水平上进行配对的公司已受雇于CellRaft。
该系统支持一系列的创新医学研究,包括干细胞分化、肿瘤细胞和生理学研究以及临床筛查。
然而,在目前商业化的CellRaft阵列中使用的材料并没有完全优化。
对于成像,高质量的材料和材料被选为其他材料性能的最佳选择,例如材料弹性体材料和细胞的热再密封和密封行为。
塑料的文化和兼容性。在第一阶段的第一阶段测试计划中,为第一阶段的CellRaft阵列测试提供了替代材料。
探索了改善光学性能的方法,如折射率协议,并减少了自发荧光。
特别是替代材料和组合,在这两个标准中都表现出了良好的性能,这导致了我们的需求。
极大地提高了手机的成像和性能。在这里,我们可以把这款手机产品的新版本称为High。
解决方案,支持或支持HR-CellRaft。我们第二阶段建议的重点是将面向更多用户的HR-CellRaft解决方案进一步商业化。
有兴趣对详细的表型成像感兴趣的人可能不会对当前的CellRaft阵列阵列(例如亚细胞)感兴趣。
蛋白质(定位、细胞器、生理学和半定量(荧光信号))以及自动化。
CellRaft测试系统和工作流程。在一个高度并行的测试程序中,我们正在开发一种高度自动化的测试仪器。
自动细胞分离和图像检索系统(AIR™)是一种利用最新技术进行单细胞成像和细胞分离的系统。
CellRaft阵列。在第二阶段,我们将实施几个新的设计和修订,以增强新空气的主要光学存储能力。
系统以及它的软件-基于图像的图像分析和算法-需要更好地利用人力资源-CellRaft的改进。
光学性能。在这里,我们将第一个新的拟议的™仪器称为Clear Air™系统。
荧光检测包括两个通道(六个而不是三个),具有更高的放大倍率和目标(10倍,™)。
20X(20X)和40X(40X)作为反对者反对通过单一的(目标)-4X(或10X)-这是在™(空中交通系统)上发现的,并要求更高的决议。
摄像头将进一步增强图像处理系统的整体成像能力。需要对图像处理系统进行外部图像验证-CellRaft阵列图像和图像处理。
在空气清新系统的性能方面,我们已经确认了来自我们的早期采用者项目的两名调查人员。
研究人员需要独特的人力资源-CellRaft技术和清洁的空气净化系统来满足他们的需求。一个人将不会分离基于他们的单个细胞。
关于一名中国记者对蛋白质的亚细胞定位实验,第二次实验将分离出具有不同水平转基因的细胞。
表达,随着两个群体将这些表型观察结果耦合到下游的单个细胞和分子。
分析。在我们的HR-CellRaft和他们改进了的光学系统中,我们的晴朗空气净化系统满足了一个紧急的需求。
未得到满足的是,需要将高分辨率的表型DNA成像技术与下游的单核细胞的分子生物学分析技术相匹配。
英文摘要
PROJECT SUMMARY
Pairing detailed phenotypic characterization of cells with downstream molecular analysis represents a
significant challenge, especially at the level of single cells. Cell Microsystems has developed and commercialized
the CellRaft™ System, which is currently the only commercially available means of imaging cells using brightfield
and/or multi-‐‑channel fluorescence prior to single cell isolation and downstream molecular analysis. Investigators
interested in pairing phenotypic data with genomic analysis at the single cell level have employed the CellRaft
System for a range of innovative studies including stem cell differentiation, tumor cell physiology and screening
of neurons. However, the materials used in the currently commercially available CellRaft Arrays are not optimized
for imaging quality and were selected for other properties such as the re-‐‑sealing behavior of the elastomer and cell
culture compatibility of the plastic. During the Phase I program, alternative materials for the CellRaft Array were
explored for improved optical properties such as refractive index agreement and reduced autofluorescence. One
particular alternative materials combination exhibited favorable performance in both criteria leading to
dramatically improved cell imaging performance. Here, we refer to this version of the product as the High
Resolution, or HR-‐‑CellRaft. The focus of our Phase II proposal is to commercialize the HR-‐‑CellRaft for users
interested in pairing detailed phenotypic imaging not possible on the current CellRaft Array (e.g. subcellular
protein localization, organelle physiology, and semi-‐‑quantitative fluorescent signals), as well as automate the
CellRaft System workflow. In a parallel program, we are developing a highly automated instrument, the
Automated Isolation and Retrieval (AIR™) System for single cell imaging and isolation employing the current
CellRaft Array. During Phase II we will implement several design revisions to the optical capabilities of the AIR
System as well as its software-‐‑based image analysis algorithms to better leverage the HR-‐‑CellRaft’s improved
optical properties. The new proposed instrument is referred to here as the CLEAR AIR™ System. Additional
fluorescence detection channels (six instead of three in the AIR™ System), higher magnification objectives (10X,
20X and 40X as opposed to the single objective -‐‑ 4X or 10X -‐‑ found on the AIR™ System) and a higher resolution
camera will enhance the imaging capabilities of the system. For external validation of HR-‐‑CellRaft Array and
CLEAR AIR System performance, we have identified two investigators from our Early Adopter Program with
research needs uniquely satisfied by the HR-‐‑CellRaft and CLEAR AIR System. One will isolate single cells based
on subcellular localization of a reporter protein and the second will isolate cells with varying levels of transgene
expression, with both groups coupling these phenotypic observations to downstream single cell molecular
analysis. The HR-‐‑CellRaft and the improved optical subsystem in the CLEAR AIR System meets an urgently
unmet need for pairing high-‐‑resolution phenotypic imaging with downstream molecular analysis of single cells.
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海外基金