You can check to see that all your samples have been included by opening the file, and plotting some parameter against 'SampleID' (or your custom parameter). Alternatively, you can add additional keywords, and add them as additional parameters to the concatenated file.Ĭhoose an output location – best to create a folder within your existing experiment folder.Ĭlick 'Concatenate' on the bottom right, and wait for the new FCS file to be created.ĭrag the new FCS file into that workspace, and save the workspace in that folder. By default, each sample will be separated in a new parameter called 'SampleID', where samples are organised alphabetically ( I think it's alphabetical). We will be concatenating FCS files, so we can just use 'all uncompensated parameters'. In the new window, select 'Concatenate' at the top. Right click on one of the nodes, and select 'Export / Concatenate Populations'. Select your POPI and use the 'select equivalent nodes' tool under the 'edit' menu. Gate to your population of interest (POI) in the first sample.Īdd the gates to the group, and adjust for all samples, as per a normal analysis in FlowJo. The analysis was conducted using logistic regression where the sample sizes ( n 30, 50, 100, 150, 200, 300, 500, 700 and 1,000) were selected at random. If you want to use FlowJo on Catalina and have a license. The statistics such as r-squared and coefficients derived from the samples were compared with the respective true values (parameters) in the targeted population. We remind FlowJo v9 users to maintain macOS 10.14 Mojave or earlier in order to retain access this legacy version.
To start with, we want to pull our FCS files into FlowJo. FlowJo v9 is a 32-bit application, and is not supported by Catalina.
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