![]() ![]() ![]() With advances in technologies, the number of parameters that can be analyzed together in each flow cytometry panel keeps increasing, and if we sum this up with the need for testing and analyzing many samples together, the analysis step can become overwhelming.ĭimensionality reduction tools, such as viSNE maps 1, enable you to reduce high dimensional data into two dimensions, thereby enabling rapid exploratory analysis and visualization of complex results. Thus, many samples that underwent the same treatment need to be visualized. ![]() When looking at how a specific experimental condition, i.e., a specific treatment, can affect cell populations present in your samples, you need to be sure that the effect you’re seeing is the consequence of a common biological phenomenon, not specific for one single sample. Transformed data was exported using the Kaluza Cytobank Plugin. Data were acquired on a 13 detector / 3 laser CytoFLEX V5-B5-R3 (PN: C09734) compensation and logicle transformation were adjusted using Kaluza Analysis software. Lineage markers and cytokine expression were assessed after six hours with a 13-color antibody cocktail described below (Table 1). To generate the data used in this Application Note, cryopreserved human peripheral blood mononuclear cells (PBMC) from healthy donors were thawed and rested overnight for cell function recovery stimulated using Dynabead T-cell Activator anti-CD3/CD28 (ThermoFisher Scientific) in presence of protein transport inhibitor (Brefeldin A).
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