Author Archive
Cytometry in the Cloud
At Cytobank, we do cytometry in the “cloud”. What does that mean and how can that help you?
- Surviving the Data deluge
- Clarity, Access, and Collaboration
- Security and Back-up
How to Justify an iPad in Your Grant
Recently, some folks were asking on the Purdue Cytometry list about cytometry data analysis on the iPad. We’re happy to say that Cytobank does a great job of enabling you to view your cytometry data on the iPad and iPhone. We’ve just rolled out some changes that make it even easier.
Watch a brief video demonstrating Cytobank on the iPad.
Upcoming Meetings: May 2011
Two big meetings are on our calendar for May. Are you attending either of these? If so, come say hello and tell us how you use Cytobank to share and analyze your flow data.
That Funny Looking Black-and-White Box
You may have noticed a little black-and-white box in the top right corner of your printed Illustrations. This box is a two-dimensional barcode called a QR code.
The QR code for every printed Illustration from Cytobank encodes:
- Name of Experiment
- Name of Illustration
- Link to Illustration (print view)
Immunophenotyping Tumor-Infiltrating T cells
Dataset #4659: Testing Set – T Cell Immunophenotype (trimmed)
Quantifying the percentage of cells expressing a protein of interest is a frequent goal in both basic research and clinical studies. Paired with per-cell comparisons of the level of protein expression, this approach provides a powerful way to track and immunophenotype populations of cells present in a particular sample.
One widely recognized application of flow cytometric immunophenotyping is determining the percentage of CD4+ cells in a gated lymphocyte population in order to determine prognosis for an HIV patient. Other applications include measuring a series of markers in order to distinguish between different forms of leukemia.
In Cytobank, you can use the “percent in gate” statistic to measure and display the percentage of cells in a selected gate as compared to each active population in your figure. To illustrate with a simple example, let’s examine a sample dataset looking at the percentage of CD25+ cells in a CD3+ T cell population.
