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Yüksek içerik, Open Source Software tarafından desteklenen Evrensel Mikroskop Verilerden Floresan Göstergeler, Bireysel Hücre Niceleme için iş akışı
JoVE Journal
Biologia
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JoVE Journal Biologia
Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
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Yüksek içerik, Open Source Software tarafından desteklenen Evrensel Mikroskop Verilerden Floresan Göstergeler, Bireysel Hücre Niceleme için iş akışı

12,715 Views

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09:57 min

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December 16, 2014

DOI:

10.3791/51882-v

DOI:
10.3791/51882-v

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09:57 min
December 16, 2014

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4 Views
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1Cancer Biology,UCL Cancer Institute

Tags

Cell QuantificationFluorescent MarkersHigh-content MicroscopySingle-cell AnalysisCell HeterogeneityCell ProfilerOpen-source SoftwareSubcellular SegmentationSiRNA ScreenG1 Checkpoint RegulatorsCell PerturbationFluorescence-based Cellular Markers

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Stockwell, S. R., Mittnacht, S. Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software. J. Vis. Exp. (94), e51882, doi:10.3791/51882 (2014).

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