Because Cytobank is web-based, we can help you share your flow data with your advisor, labmates, and collaborators – all around the world! By default, your data is private and visible only to you, but if you do decide to share, the easiest way to share an experiment is to give another user full access. But what if you need to share dozens of experiments with the same three people? Or what if you don’t want to give full access to someone but still want them to see your Illustrations?
A Cytobank project enables you to share multiple experiments with the same group of people. A project also allows you to set project-wide permission levels that let you determine whether or not people can make new illustrations and whether or not they can clone the experiments contained within the project.
The ‘Cell Signaling’ course at LACI was taught by local instructors Nathalie Auphan-Anezin and Pierre Grenot, both of CIML, and Jonathan and Chris. The course led course participants through staining, collection, upload, and analysis of a phospho-flow experiment. We’ve briefly described the experiment here, made a version of the dataset public along with the original course protocol, and prepared a tutorial (part 1 and part 2) to lead you through Cytobank analysis of the course data.
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.
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:
In the past few months, the Cytobank Development Team has made numerous backend changes with the aim of improving performance speeds. We are happy to report that, as a result, analysis on Cytobank has sped up significantly.
Depending on your specific datasets, time to get to your results may be up to 10x faster!