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Flow Cytometry Education

Upcoming Seminar(s)
  • Please send requests for future seminar topics to flowcore@pitt.edu.
  • Recordings and/or slides from past seminars can be found in the next section: "Past Unified Flow Core Seminars." 
Past Unified Flow Core Seminars
Conventional Flow Cytometry
Spectral Flow Cytometry
  • Cytek (Aurora) Biosciences Resource Page
    • Cytek Cloud - Good place for spectral panel design for Auroras (all of ours are 5 laser).  Can even save an experiment template to save time setting up at the machine!  Account is free.
  • Aurora Training Course
    • This is an EXCELLENT course on spectral flow cytometry by the University of Chicago's Cytology and Antibody Technology facility.
  • Unified Flow Core Aurora Reference Guide
  • Be sure to check out the AF Explorer Tool seminar from November 2023. 
ImageStream
Data Analysis Resources
  • Flowjo
    • Note: no account needed to view educational/reference materials.  Flowjo can be used to analyze spectral and conventional flow data.
    • Flowjo Courses
    • Webinars Scroll down to "Recorded Webinars" if you aren't able to attend a live one.
    • Flowjo Exchange Download various (free) plugins here.  Especially recommended are: FlowAI, FlowSOM, ClusterExplorer, and check out ezDAFI.  Recommended dimensional reduction plugins in addition to TSNE (which is now part of Flowjo), UMAP, FitSNE (faster TSNE)
    • The support staff at Flowjo is very responsive and helpful.  Feel free email them with questions about the software, plugin installation, or the plugins themselves: flowjo@bd.com
    • Check out the next section as well for background on dimensional reduction. Most tools mentioned are now available as Flowjo plugins.
  • ImageStream Data Analysis
    • IDEAS - analysis software manual
    • IDEAS Tutorial Series is available on Analysis Computer in Assembly G532
    • Machine Learning Manual - IDEAS v6.3 has the machine learning module (this version is available on analysis computer in Assembly G532).
Flow Cytometry BootCamp Series - Lisa Borghesi (Fall 2021)