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Flow Cytometry Blog

Why Outsource Flow Cytometry?

Posted on: June 19, 2019

Make Your Decision With These 5 Questions

You have just gotten approval to start a big phase 1 clinical trial and 172 precious blood samples are about to come through your door in about two months. What do you do? Do you clone yourself and your outstanding flow cytometry skills? Do you consider skipping sleep for a few weeks? Do you panic? Perhaps, you should consider outsourcing your flow cytometry analysis ... 

Walk through the who, what, where, when, and why of outsourcing flow cytometry and make the best decision for your next flow cytometry-based project.

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Pairing Two Techniques: Cell Sorting & Mass Spectrometry

Posted on: June 05, 2019

What is the Technology?

Flow Cytometry and Mass Spectrometry are widely used analytical tools in cancer research. Flow Cytometry (FACS or Fluorescence Activated Cell Sorting) has been well established for cell counting, cell sorting and biomarker discovery. Its ability to utilize 14+ colors makes it the technique-of-choice for isolation of many cell subtypes especially rare cells such as stem cells. Mass Spectrometry is unparalleled in its ability to selectively detect and quantify target proteins at the molecular level. By combining these two powerful techniques, it is possible to isolate highly selective cellular populations from biological fluids and quantify the cell’s specific proteins.

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Data Visualization – t-SNE Plots Explained

Posted on: May 30, 2019

Flow cytometry has moved into the era of “big data,” and data plots have also shifted from scatter plots and histograms toward visualization methods that can handle this complex data. This era of computational cytometry has ushered in the use of T-distributed Stochastic Neighbor Embedding (t-SNE) data analysis, a machine learning algorithm applied to complex flow cytometry data. Check out these three reasons why t-SNE data analysis is a valuable data visualization tool for flow cytometry.   

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Using Cell Sorting to Characterize Cell Lines

Posted on: May 16, 2019

Cell sorting is not limited to studying cells derived from blood or tissue samples, but it is also a valuable too for characterizing cell lines. Cell lines are critical to basic research studies as well as biopharmaceutical product development and production. Consider these cell sorting applications for your cell line needs.

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Using Flow Cytometry To Evaluate Infiltrating Immune Cells (TIL) In Immuno-Oncology Research

Posted on: May 08, 2019

Immune cell infiltration is essential for anti-tumor responses because immune cells must be able to be in close proximity to tumor cells for these responses to be effective. Flow cytometry is a flexible and powerful tool for detecting and monitoring the presence of infiltrating immune cells, or TIL, and can be customized to detect any immune cell subset.

Consider these questions as you think about assessing infiltrating immune cells with flow cytometry in your Immuno-Oncology (IO) research.

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Computational Cytometry | Flow Cytometry Data Analysis in the Era of Quantitative Data Science
 

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