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- W4313383915 abstract "Abstract The use of image-based flow cytometry has exponentially expanded the knowledge that can be derived regarding cellular changes compared to traditional PMT-based flow cytometry. Other recent advances in cell processing (i.e. Drop Array laminar flow processing) have further increased robustness by protecting cells from loss and damage during flow cytometry processing and labelling. Despite the advances in these respective fields to our knowledge, no study has attempted to combine both technologies to further increase sensitivity and throughput. Thus, the purpose of this report was to compare and evaluate a traditional cell prep workflow to a Drop Array workflow in the preparation of cells for image-based flow cytometry analysis. In order to complete this testing, we selected monocyte LPS-stimulated intracellular monocyte cytokine expression (i.e. IL-6 and TNF-alpha). Monocytes are an ideal cellular target to study because they are commonly lost during traditional centrifuge processing methods. Blood samples were collected from subjects according to IRB approved procedures, the latest Declaration of Helsinki, and a signed consent form. We found that processing with the Drop Array workflow resulted in reduced monocyte loss during staining, reduced cellular debris, and improved noise-to-signal ratio for intracellular IL-6 and TNF-alpha. More research is needed to evaluate the Drop Array workflow for other cell types, but it appears to be an effective technology to processing monocytes for image-based flow cytometry analysis." @default.
- W4313383915 created "2023-01-06" @default.
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- W4313383915 date "2018-05-01" @default.
- W4313383915 modified "2023-09-27" @default.
- W4313383915 title "Combining Drop Array Laminar Flow Processing and Image-based Flow Cytometry to Evaluate Changes in Monocyte Intracellular Cytokine Production" @default.
- W4313383915 doi "https://doi.org/10.4049/jimmunol.200.supp.46.18" @default.
- W4313383915 hasPublicationYear "2018" @default.
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