Single Channel Visualizations

From QuB

Jump to: navigation, search
Prev: Tutorial:Single Channel Kinetics Outline Next: Macroscopic Analysis


Contents

Select charts

The Select tab of the Results window lets you plot quantities that vary among data segments. It is available for a Result, such as generated by Idealize or MIL, if the data source was a list with multiple selections, or a file with multiple segments. You can use color to group the segments, e.g. for separate analysis.

Choose a variable from the "Show var..." menu to see a basic one-variable plot. Right-click the plot to customize display. Viewing "As Histogram" bins the datapoints -- the number of bins can be changed with a slider -- and stacks datapoints within each bin.

Choose "Custom..." from the "Show var..." menu to scatter-plot one variable against another.

Each segment has a color; by default they're all red. A segment is the same color in all plots. Plots show the mean value for each color with a thick line, and +/- one standard deviation with thin lines (the number of standard deviations can be changed with a slider).

You can change colors

  1. by painting them on: click a color in the bar on the left, then click or drag over datapoints (you must drag from top-left to bottom-right).
  2. with the Select button/menu
  3. with the menu when you right-click a color tile
  4. with the Criteria tab

The color tile right-click menu also lets you "Make selection list" of just one color segments.

Copy/Print Image

You can copy most visual elements in QuB to the clipboard by right-clicking and choosing "Copy image." Model and data present several options:

Draw frame puts a box around the picture
Show titles writes file name and other info at the top
Orientation portrait or landscape
Format Picture: scale-independent vector graphics; may be too detailed with thousands of data points
Bitmap: pixellated image may print ugly if Width and Height are too small
Width, Height

Model only:

Named states labels the black states "C1", "C2", ... and the red states "O1", "O2", ... instead of their numbers

Data only:

Scale bars existence, placement and geometry
Amps from model scales the vertical scale bar to the opening current
Draw Data shows the sampled data
Draw IDL shows the idealization
Draw Baseline draws a horizontal line through 0.0
Black & White draws black on white

You can also "Print" model and data from the right-click menu. The same options are available.

Likewise you can copy and print any histogram, with several options.

You can also copy the image of a Select chart, the Model energy landscape, and the Data Overlap window. These will be exact bitmaps of what's on the screen.

Extract graph data

To make your own figures, extract the datapoints to a text file or Excel sheet. Extract sampled data with the Ext button. Extract the data series from a histogram or other plot by right-clicking it. All the data displayed in Results#Select can be copied from the Results#Segments tab.

Model Energy Landscape

To view the Model as energy wells and barriers, right-click the model and choose "Energy landscape." If your model has a stimulus dependence, you can see the effect of different stimuli using a slider.

Model Report

The Model Report (MdlRpt) button generates a Result and an MS Word document with statistics about the model. Everything is calculated with and without missed events correction (the dead time). Stats with m.e. correction are marked by (*). You can use a predefined report template or build a custom one from several options.

Custom Reports

The Reports button in the Results window generates a summary of the Result. Some predefined templates are listed, or you can build a "New report" from several options.

You can save custom report templates; they're stored in the QuB program folder under Reports\.

Python programmers can add new "Options" for your templates. For example, a "Histograms as PDF" for those who don't have MS Office. (details)

Data as Sound

To hear the difference between modes of channel activity, you can convert a selection of data to a WAV file and listen to it in QuB. Current amplitude in the input becomes frequency in the output. The range of frequencies is determined from the closed and open amplitudes in the model. iWav converts idealized data while dWav works on sampled data.

Tutorials

someone could write one of these, or something else useful

  • select gymnastics
  • energize model b
  • report model b
  • dWAV data b hi, data b lo; listen, save


Prev: Tutorial:Single Channel Kinetics Outline Next: Macroscopic Analysis
Personal tools