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5 Essential Calculations For Accurate Flow Cytometry Results


Flow cytometry is a numbers game. There are percentages of a population, fluorescence intensity measurements, sample averages, data normalization, and more. Many of these common calculations are useful, but surrounded by misconceptions. This primer will help you decide which calculation to use, when to use it, and how to interpret the results.

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Measuring Receptor Occupancy With Flow Cytometry


Measuring the receptor occupancy of a given target showcases the power of flow cytometry. With the right reagents, best practices, and attention to detail, this assay can become a mainstay in your research toolkit. It extends quantitative flow cytometry to the next level, to determine a complete biological picture of how efficiently a given target is being bound. This also serves as the basis for even more fine-analysis when combined with assessment of downstream targets that the engagement of the receptor by the target antibody may affect. Phosphorylation, cell cycle arrest, and protein expression are all within reach, resulting in an even more complete picture of the process, that will ultimately give the medical community a fuller understanding of how these potential therapeutics work and when to use them. This is truly personalized medicine at its fullest potential.

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3 Ways The ZE5 Cell Analyzer Accelerates Flow Cytometry Research Opportunities


Some technological advances are incremental, while others are significant game-changing tools that offer the researcher the ability to significantly improve current assays while allowing for new and novel avenues of research to be performed. With speed, sensitivity, and capacity to spare, the ZE5 fits into the game-changing category. Reduced carryover, increased speed of acquisition, and a large number of parameters all open up new and novel assays while improving the quality and reproducibility of ongoing ones.

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How To Perform A Flow Cytometry t-Test


The ultimate goal of any experiment is to analyze data and determine whether it supports or disproves a given hypothesis. To do that, scientists turn to statistics. If we wish to compare either a single group to a theoretical hypothesis, or two different groups, and these groups are normally distributed, the test of choice is the Student’s t-Test. To perform the t-Test, it is critical to start from the beginning of the experiment to establish several parameters, including the type of test, the null hypothesis, the assumptions about the data, the number of samples to be analyzed (Power of the experiment), and the threshold. The experiments are performed, and only then, after the primary analysis is completed, is statistical testing performed.

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Planning For Surface Staining Of Cells In Flow Cytometry


One of the most common assays in flow cytometry is the surface labeling of cells with antibodies. Often termed “immunophenotyping”, it allows the researcher to identify, count, and isolate cells of interest in a mix of input cells. Every lab has their own favorite protocol to move from sample to cytometer, handed down from some hallowed, chemical-stained notebook, and followed as exactly as making a souffle. The real questions are, which of those steps are critical, and what other factors should be considered when staining cells? This article will focus on staining immune cells, but the principles apply in general, and specific issues for a specific sample type can be optimized in a similar way.

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