ROI Classifiers ( IAROIClassifiers )

Parameters:

Name	Short Name	Type	Description
Frame Range	FrameRange	string	Range defining which frames to calculate ROI values. Frame number or from-to, or "All".
Limit Type	type	string	Set up criteria for minimal or maximal values. ROIs with a given non-zero parameter (below) below "Min" or above "Max" will be deleted.
Normalization	normalization	string	If other than "None", classifiers are applied on normalized data.
Mean	mean	real	Mean of ROI values if multiple frames are looked, or the value of ROI in the given frame. Use 0 for not checking
Max	max	real	Max of ROI values for frames if multiple frames are looked. Use 0 for not checking
Min	min	real	Min of ROI values for frames if multiple frames are looked. Use 0 for not checking
Sum	sum	real	Sum of ROI values for frames if multiple frames are looked. Use 0 for not checking
Variance	variance	real	Variance of ROI values for frames if multiple frames are looked. Use 0 for not checking
PDI Variance	varianceOverMean	real	Variance over Mean of ROI valuea for frames if multiple frames are looked. Use 0 for not checking
PDI SD	SDOverMean	real	SD over Mean of ROI values for frames if multiple frames are looked. Use 0 for not checking

Description:

Deletes ROIs which do not satisfy the given limits, looking frames in the "Frame Range" or the whole time lapse.
Limit type: Max: ROIs with Mean, Max, Min, Sum, etc... values larger than this set value are deleted (ones with equal value are kept).
Limit type: Min: ROIs with Mean, Max, Min, Sum, etc... values smaller than this set value are deleted (ones with equal value are kept).
Zero value disables the checking of the given parameter. If normalization is enabled, then limits must be given in normalized values. Baseline and endpoint normalization uses the mean of the first or last n frames, and n is set in the Preferences dialog, Misc tab.
Classifiers calculate Mean, Max, Min, Sum, etc... of ROI averages for frames in the range provided in the "Frame Range" or for all time points. Thus, the Variance is the variance observed in between time points of ROI values calculated by averaging pixels values in each time point.
Percentile of ROIs: The percentile of each ROI regarding to all ROIs in each of the frames in the frame range is calculated, using mean, max, min, etc... of percentile values for the frames in the frame range. Thus, with Mean=50 settings, depending on the limit type the brightest or dimmest half of the ROIs will be kept.
Mathematica usage:
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