Label-free cell viability assays using Phase Imaging with Computational Specificity
Label-free cell viability assays using Phase Imaging with Computational Specificity
批准号:
10484781
负责人:
CATALIN CHIRITESCU
金额:
$89.43万
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:
2022-05-10 至 2024-03-31
关键词:
3-DimensionalAgitationAgreementBindingBiological AssayBioreactorsBusinessesCell CountCell Culture TechniquesCell CycleCell LineCell SurvivalCellsCellular AssayChemicalsClassificationComputer softwareConsumptionDNADataData AnalysesDetectionDevelopmentEnsureEscherichia coliFeasibility StudiesFluorescenceFundingGeometryGoalsGrowthHourImageImaging DeviceInvestmentsLabelLearningLegal patentLettersLiquid substanceMammalian CellMeasurementMechanicsMembraneMicroscopeMicroscopyModalityModelingMonitorMorphologyOptical InstrumentOpticsOutputPerformancePharmacologic SubstancePhasePhotobleachingPhototoxicityPichiaPopulationProceduresProcessProductionPumpReagentRecombinant ProteinsResearchResearch Project GrantsRouteSaccharomycesSalesSamplingSmall Business Innovation Research GrantSoftware ToolsSpecialistSpecificitySpecimenStaining and LabelingStainsStimulusStressStructureSuspensionsTechnologyTestingTimeTrainingTrypan BlueWorkartificial intelligence algorithmbasecell growthcell injurycellular imagingdeep learningdeep learning algorithmdeep neural networkdesigndigitalexperiencefeedingfluorescence imagingfluorophorehigh riskimaging modalityimaging systeminstrumentinterestmonolayernoveloperationprototypequality assurancequantitative imagingresearch and developmentsoftware developmenttomography
中文摘要
项目总结/文摘
英文摘要
Project Summary/Abstract
Viable cell concentration is one of the most important key performance indicator during upstream technologies
in mammalian cell culture. Customer Discovery discussions with biopharma execs and R&D specialists revealed
there is an unmet need for on-line/in-line monitoring of cell viability in pharma bioreactors driven by compliance
with real-time product quality assurance as described in Process Analytical Technology (PAT) and Quality by
Design initiatives.
Preliminary work equivalent to Phase I effort has resulted in a cell imaging system including a flow cell setup that
simulates an on-line stirring bioreactor sampling route. Proof-of-concept was also established for detection and
classification of live/dead assays using digital staining via PICS (Phase Imaging with Computational Specificity).
This Small Business Innovation Research project proposes to build a commercial prototype instrument for real
time, quantitative and high-throughput cell viability scoring for on-line/in-line bioreactor monitoring that meets the
metrics of interest for pharma R&D applications. During this effort the standard operation of the QPI+PICS
instrument will be refined and the automated software detection and classification of live/dead assays will be
completed.
At the end of this Direct Phase II project we will deliver a commercial prototype -a “push-of-a-button” viability
scanner with the above capabilities built in.
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会议论文
Label-free cell cycle classification using Phase Imaging with Computational Specificity
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批准号:10547446
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项目类别:
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资助金额:$22.5万
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财政年份:2022
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负责人:CATALIN CHIRITESCU
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依托单位:
Label-free cell viability assays using Phase Imaging with Computational Specificity
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批准号:10620330
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项目类别:
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资助金额:$64.99万
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财政年份:2022
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负责人:CATALIN CHIRITESCU
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依托单位:
海外基金