Model[Maintenance, CalibrateVolume]
A set of parameters describing a regularly performed maintenance to calibrate volume measurements of samples in plates or vessels.
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: Model[Maintenance, CalibrateVolume, _String]
Pattern Description: The object reference of this object.
Type
Type of this Object.
Format: Single
Class: Expression
Programmatic Pattern: Model[Maintenance, CalibrateVolume]
Pattern Description: Model[Maintenance, CalibrateVolume]
Notebook
Notebook this object belongs to.
Format: Single
Class: Link
Programmatic Pattern: _Link
Pattern Description: An object of that matches ObjectP[Object[LaboratoryNotebook]].
Relation: Object[LaboratoryNotebook][Objects]
Objects
Objects that represent instances of this model.
Format: Multiple
Class: Link
Programmatic Pattern: _Link
Authors
The person who created this model of maintenance.
Format: Multiple
Class: Link
Programmatic Pattern: _Link
Relation: Object[User]
Deprecated
Indicates if this type of maintenance is historical and no longer used in the lab.
Format: Single
Class: Expression
Programmatic Pattern: BooleanP
Qualifications & Maintenance
Targets
The target model of object for which this model of Maintenance is designed to maintain.
Format: Multiple
Class: Link
Programmatic Pattern: _Link
MaintenanceFrequencies
A list of the targets and their required frequencies.
Format: Computable
Header: ['Target', 'Time Interval']
Programmatic Pattern: {{ObjectReferenceP[{Model[Instrument], Model[Container], Model[Sample], Model[Sensor], Model[Part], Model[Item]}], GreaterP[0 Day] | Null}...}
Expression: SafeEvaluate[{Field[Targets], Field[Object]}, Computables`Private`maintenanceFrequenciesComputable[Field[Targets], Field[Object]]]
Calibration Parameters
ContainerModel
The model of container for which this path length-to-volume calibration was generated.
Format: Single
Class: Link
Programmatic Pattern: _Link
Relation: Model[Container]
RackModel
The models of rack used to hold the non-self-standing containers that this path length-to-volume calibration applies to.
Format: Single
Class: Link
Programmatic Pattern: _Link
Relation: Alternatives[Model[Container, Rack]]
General
BufferModel
The buffer model used to calibrate a volume fit in this model of maintenance.
Format: Single
Class: Link
Programmatic Pattern: _Link
Relation: Model[Sample]
BufferReservoirModel
The container the calibration buffer will be held in before being dispensed to the containers being calibrated.
Format: Single
Class: Link
Programmatic Pattern: _Link
Relation: Model[Container]
VolumeBuffer
Factor to multiply the minimum required buffer volume by to determine how much total buffer will be created.
Format: Single
Class: Real
Programmatic Pattern: GreaterEqualP[1]
NumberOfReplicates
The number of replicate containers used in this model of calibration.
Format: Single
Class: Integer
Programmatic Pattern: GreaterP[0, 1]
VolumeRanges
The volumes used for calibration will fall into these ranges.
Format: Multiple
[[1]] Start Volume
Header: Start Volume
Class: Real
Unit: 1 milliliter
Programmatic Pattern: GreaterP[0 Microliter]
[[2]] End Volume
Header: End Volume
Class: Real
Unit: 1 milliliter
Programmatic Pattern: GreaterP[0 Microliter]
[[3]] Number of Volumes in Range
Header: Number of Volumes in Range
Class: Integer
Programmatic Pattern: GreaterP[1]
Method Information
EmptyDistanceMethod
For container models with multiple wells, describes whether the calibration generated has a shared empty distance for all wells (Average), or an individual distance for each well (IndexMatching). Automatic resolves in the parser to the average method if the empty distances measured are homogeneous and IndexMatching otherwise.
Format: Single
Class: Expression
Programmatic Pattern: Automatic | IndexMatching | Average
Last modified on Mon 26 Sep 2022 15:43:55