• 1
    Experiment Overview
    • 1.1
    • 1.2
    • 1.3
      Experiment Variables
    • 1.4
      Organization (name and address)
    • 1.5
      Primary Contact (name and email address)
    • 1.6
      Date (or time period)
    • 1.7
      Conclusions (if applicable)
    • 1.8
      Quality Control Measures
  • 2
    Flow Sample and Specimen Details
    • 2.1
      Sample/Specimen Material Description (include description, type, source, source treatment, taxonomy, age, gender, phenotype, genotype as applicable for biological samples; description and location for environmental samples)
    • 2.3
      Sample Treatment(s) Description
    • 2.4
      Fluorescence Reagent(s) Description (include characteristic(s) being measured, analytes, analyte detectors, analyte reporters, clone names/numbers, manufacturer, catalogue numbers as applicable)
  • 3
    Instrument Details
    • 3.1
      Instrument Manufacturer
    • 3.2
      Instrument Model
    • 3.3
      Instrument Configuration and Settings (provide acquisition settings including detector voltages and describe all custom alterations of the instrument if applicable; include installation dates of optical filters)
  • 4
    Data Analysis Details (if data analysis has been performed)
    • 4.1
      List-mode Data File (specify location of original list-mode file, for example supplementary material, URL, website)
    • 4.2
      Compensation Details (describe how multicolor compensation was performed by including antibodies, cells, or beads used)
    • 4.3
      Data Transformation Details (purpose and description if any transformation of the raw measurement has been performed, including various scales for visualization and gating purposes)
    • 4.4
      Gating (Data Filtering) Details (include description of all gates, percentage of events inside, and either mathematical descriptions of each gate boundary or appropriate gate images; mathematical description of gate boundaries can be provided in using Gating-ML or an appropriate project or workspace file); description of the algorithm by which gates were created (for example, subjective, based on FMO (how?), same gate for all analyses, etc.)
  • 5
    Data Presentation Requirements
    • 5.1
      Axes legends (antibody and dye; linear- or logarithmic-scaled axes)
    • 5.2
      Graphical example for full gating strategy
    • 5.3
      Positive/negative control or FMO