Automated Isolation of Single Cells Using High-Resolution and Subcellular Imaging
使用高分辨率和亚细胞成像自动分离单细胞
基本信息
- 批准号:9251383
- 负责人:
- 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
- 起止时间:2013-09-01 至 2019-02-28
- 项目状态:已结题
- 来源:
- 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
项目摘要
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.
项目总结
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Steven Charles Gebhart其他文献
Steven Charles Gebhart的其他文献
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{{ truncateString('Steven Charles Gebhart', 18)}}的其他基金
Validation and commercialization of a/LCI for detection of esophageal neoplasia
用于检测食管肿瘤的 a/LCI 的验证和商业化
- 批准号:
8538760 - 财政年份:2007
- 资助金额:
$ 81.85万 - 项目类别:
Validation and commercialization of a/LCI for detection of esophageal neoplasia
用于检测食管肿瘤的 a/LCI 的验证和商业化
- 批准号:
8255151 - 财政年份:2007
- 资助金额:
$ 81.85万 - 项目类别:
Validation and commercialization of a/LCI for detection of esophageal neoplasia
用于检测食管肿瘤的 a/LCI 的验证和商业化
- 批准号:
8333979 - 财政年份:2007
- 资助金额:
$ 81.85万 - 项目类别:
Clinical validation of a/LCI for detecting pre-cancerous lesions in the esophagus
a/LCI 用于检测食管癌前病变的临床验证
- 批准号:
8292567 - 财政年份:2007
- 资助金额:
$ 81.85万 - 项目类别:
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