...serve as the base object for any ScreenAble tools which need access to Instrument Reader data. A PlateRun object contains the run, plate and well level data needed to properly organize and display data as individual plates or in groups. Because of this, PlateRuns can usefully analyzed in their own right for a variety of quality control and assay development tasks.

Exploratory Data Analysis

ScreenAble's R-code library contains an extensive collection of graphical methods useful for quality monitoring. These methods offer multi-panel graphics conditioned on factors (e.g. plate, row, well etc.) present in the current data frame. These approaches promote deeper understanding of run dynamics in ways not easily achieved by using tables of summary statistics.

Run Navigation

There are a variety of ways to navigate (select data by plate and response) the current PlateRun or AssayRun in ScreenAble . There are Toolbar and Menu options to move to the First, Last, Next or Previous plates. It is also possible to navigate using the mouse in the RunImage graphics device. However, to control which of the various navigation plots are rendered by your navigation choices or to set plotting options, you must invoke the Navigate Run dialog shown at left.

This dialog may be usefully re-sized in order to make selection of plate groups easier. Selecting the checkbox for the various Graphics and Data options will cause the particular device to be opened or updated when OK or Apply are selected. Un-checking an option usually will cause the device to close its window.

Screen Development

Much of the calculator functionality used in AssayProtocols is available via PlateRun Toolbar buttons.

Linear and other transformations of existing responses are often useful for analysis of biological responses. A variety of these, including special two-read transformations, are available using the interface shown at left.

Alternatively, Calibration curves for each plate or just the first one can be defined, applied and used to scale the existing responses with this same interface.

A different interface is available to define up to four read windows and algorithms suitable for multi-read data.

Finally, any data from a PlateRun object can easily be exported for further analysis using external tools.