![]() ![]() You can then save this workspace as a template. Generate a table in which you can generate particular statistics from all samples.Generate a graphical layout in which you can display particular graphs from all samples.Quickly check the samples in the group to make sure the gates are acceptable: they may need minor modifications to accommodate sample to sample variation.Apply the appropriate analyses to all the samples in a group.Analyze a single prototype sample in detail.Group samples for analysis with common procedures.You will find that your mode of operating FlowJo will probably be very similar to the following series of steps: Thus, you can apply a gate or a statistic to a group, and that gate or calculation willīe automatically performed on all samples! ![]() ![]() Groups are really the powerful feature of FlowJo: when you perform an operation on a group, it performs the operation on every sample belonging to that group. For instance, you can make a group of all samples derived from a single individual (which may have different stains) you can also make groups of all samples with the same stains (which come from different individuals). Within a workspace, you can group samplesīy various attributes. We recommend that you have at least one workspace for every experiment. You can have as many workspaces as you want the organization is up to you. You can close the workspace, and then reopen in the future and start where you left off. A Workspace is similar to a notebook: it references every sample that you are analyzing, and records the analyses (gates, statistics, graphs, tables) that you With FlowJo, you will organize the samples in a workspace. An experiment can be a single collection of samples, or it can stretch across multiple runs over a period of months. Stained with the same antibodies, other sets of tubes which come from the same tissue sources, etc. An experiment is a collection of samples which have a set of common attributes � for instance, there are sets of tubes The basic concept behind this analysis is that of the experiment. Experiments and workspacesįlowJo is a program designed to analyze flow cytometry data. ![]() but if not, FlowJo makes it easy for you to copy any graphs, statistics, or other information into other programs for further analysis and presentation. (graphical or tabular) are sufficient for you to generate publication-quality material. In addition, you can follow links to some special topics regarding FlowJo: The all-important Credits page, where we have the opportunity to thank the many individuals who have spent much time andĮffort helping us make FlowJo the most sophisticated analysis package around, a page about getting Help from within FlowJo itself, and a page detailing the history of revisions to FlowJo.įlowJo should be the first step in the process of analyzing flow cytometry data.� FlowJo can analyze data generated by any flow cytometer from any manufacturer.� FlowJo has a number of different analysis platforms that let you not only perform standardĪnalyses such as gating and statistics, but also specialized analyses such as DNA/Cell Cycle, Kinetics (Calcium flux), Proliferation, Calibration, and Statistical Comparison.� You may find that FlowJo's sophisticated tools for generating output As you navigate through the main documentation, you will get more details about all This page describes some of the basic concepts underlying FlowJo it is meant to help you familiarize yourself with some of the terminology and the features of FlowJo. ![]()
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