If you have any questions about FlowIO or find any bugs please submit an issue to the GitHub repository here. In addition to accessing the software on our facilitys computers, you have the option to obtain a license for your labs computers. To access these computers, please contact us to schedule a time slot. To take advantage of these plugins, you will need to install the R program (free) and make sure to point FlowJo to where it is. The FlowIO API documentation is available on ReadTheDocs here. You have access to the titles listed below on the computers of the facility. Or, if you prefer, you can install from the GitHub source: git clone The recommended way to install FlowIO is via the pip command: pip install flowio Npy_data = numpy.reshape(fcs_data.events, (-1, fcs_data.channel_count))įor higher level interaction with flow cytometry data, including GatingML and FlowJo 10 support, To clarify what this means for our v9 users: FlowJo v9 will continue to work on Mojave and previous Apple operating systems that support 32-bit applications. Getting FlowJo on your computer has never been easier, faster, or more convenient Simply download and install from our website. The Downsample platform reduces the number of events in a data matrix by generating a subpopulation containing cells distributed regularly or randomly throughout the selected parent population. F lowJo plots the median values for each parameter over time and flags any that are outside of 2 standard deviations. This will flag samples that should be checked. For example, the channel countĬan be used to easily convert the event data to a multi-column NumPy array: import flowioįcs_data = flowio.FlowData('example.fcs') An important message to FlowJo v9 users: Apple recently announced that macOS 10.14 Mojave will be the last Apple operating system to support 32-bit applications, such as FlowJo v9. In FlowJo, after importing your cytometry data, click the Check sample quality button in the tools workspace. Basic attributesĪre also available for commonly accessed properties. A new feature in FlowJo v10 allows you to symmetrically adjust a gates size via. Stored in the FCS file is available as a dictionary via the 'text' attribute. Swing the gate to the closed position and adjust the frame to. FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS)įiles, with zero external dependencies and is compatible with Python 3.7+.įlowIO retrieves event data exactly as it is encoded in the FCS file: as aġ-dimensional list without separating the events into channels or performing any preprocessing (e.g.
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