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Object[Analysis, FlowCytometry]

Clustering analysis used to partition flow cytometry data and obtain cell counts.

Organizational Information

    Name

    Name of this Object.
    Format: Single
    Class: String
    Programmatic Pattern: _String
    Pattern Description: A string.

    ID

    ID of this Object.
    Format: Single
    Class: String
    Programmatic Pattern: _String
    Pattern Description: The ID of this object.

    Object

    Object of this Object.
    Format: Single
    Class: Expression
    Programmatic Pattern: Object[Analysis, FlowCytometry, _String]
    Pattern Description: The object reference of this object.

    Type

    Type of this Object.
    Format: Single
    Class: Expression
    Programmatic Pattern: Object[Analysis, FlowCytometry]
    Pattern Description: Object[Analysis, FlowCytometry]

    Notebook

    Notebook this object belongs to.
    Format: Single
    Class: Link
    Programmatic Pattern: _Link
    Pattern Description: An object of that matches ObjectP[Object[LaboratoryNotebook]].

    Author

    The person who ran the analysis.
    Format: Single
    Class: Link
    Programmatic Pattern: _Link
    Relation: Object[User]

General

Analysis & Reports

    ClusterLabels

    The name assigned to each cluster of cells partitioned in the analysis.
    Format: Multiple
    Class: String
    Programmatic Pattern: _String

    ClusterAssignments

    For each member of ClusterLabels, the putative cell identity model associated with that cluster.
    Format: Multiple
    Class: Link
    Programmatic Pattern: _Link
    Relation: Model[Cell]

    CellCounts

    For each member of ClusterLabels, the number of cells in that cluster per milliliter of input sample.
    Format: Multiple
    Class: Real
    Unit: 1 reciprocal milliliter
    Programmatic Pattern: 0. Hold[GreaterEqualP[----------]] Milliliter

    AbsoluteCellCounts

    For each member of ClusterLabels, the absolute number of cells in that cluster.
    Format: Multiple
    Class: Integer
    Programmatic Pattern: GreaterEqualP[0, 1]

    NumberOfDimensions

    The dimensionality of each data point in the reference flow cytometry data. There are three dimensions (peak height, width, and area) per detector for which data was collected.
    Format: Single
    Class: Integer
    Programmatic Pattern: _Integer

    DimensionLabels

    A label indicating the detector (excitation and emission wavelengths) and measurement (peak height, width, or area) to which each dimension of the reference flow cytometry data corresponds.
    Format: Multiple
    Class: String
    Programmatic Pattern: _String

    DimensionUnits

    For each member of DimensionLabels, the physical units associated with that dimension.
    Format: Multiple
    Class: Expression
    Programmatic Pattern: UnitsP[]

    ClusteredData

    An association containing reference flow cytometry data points partitioned into groups, labeled by names from ClusterLabels.
    Format: Single
    Class: Compressed
    Programmatic Pattern: _Association

Data Processing

    CompensationMatrix

    The compensation matrix used to compensate for spillover of fluorophores into other detectors.
    Format: Single
    Class: Link
    Programmatic Pattern: _Link

    ClusterAnalysisTree

    A directed tree graph, where each node is a clustering analysis packet, describing the sequence of clustering analyses used to generate this flow cytometry analysis.
    Format: Single
    Class: Compressed
    Programmatic Pattern: _Graph
Last modified on Mon 26 Sep 2022 15:43:43