Image processing functions in Image Analyst MKII
Image Analyst MKIIFunctions Glossary
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2D DFT Filter
2D DFT Filter Butterworth BP
2D DFT Filter Butterworth BP Tiled
2D Kernel Convolution
2D Median
2D Morphological Operator
2D Nonlinear Filter
2D Savitzky-Golay filter
Absolute Value
Affine Transformation
Align Channels
Align Series (Image Stabilizer)
Align Tiled Channels
Align Tiled Series (Image Stabilizer)
Anisotropic Diffusion Filter
Attach Intensity Gating Image
Attach Overlay Image
Automatic ROI drawing
Band Pass filter Optimization
Blind Spectral Unmix with NMF
Calculate Simple Crossbleed
Calculate Spatial Moments
Calibration Wizard Parameters
Clear Segmentation Classifiers
Close Image Window
Copy Image Window
Copy ROIs from Other Image
Correct Intensity Jump
Correct Lens Distortion
Count Division and Cell Death
Count Object Colocalization
Create ROI
Create ROIs from Segments
Crop
Crop Image in Place
Crop Image to Segments
Cross-correlation data
Cross-correlation image
Detect Nuclei Convolution
Differential Evolution Optimizer
Distance from Segments
Draw Model Mitochondrion
Draw Random Position Model Mitochondria
EndIf
Erase All ROIs
Excel Window Command
Export
Fill Mask
Fill or Mask Active ROI
FLIPR Calibration with [K+]ec steps and known [K+]ic and known kP
FLIPR Complete Calibration
FLIPR Complete Calibration with known kP
FLIPR Complete Calibration with known kP - Goldman
FLIPR Complete Iterative Calibration
FLIPR Estimate PN
FLIPR Short Calibration based on known potential during MDC and CDC
FLIPR Short Calibration between known baseline and CDC
FLIPR Short Calibration between known baseline and MDC
FLIPR Short Calibration between known baseline and separately measured fP0
FLIPR Short Calibration from Zero with fx=0
FunctionOptions
Get Image Information
Get Linked Channel
If
If Greater Than Zero
Image Arithmetic (image-image math)
Image Arithmetic In Place
Image Arithmetic Single Frame
Inpaint Mask
Input
Invert
Lens Correction Optimization
Link Image Windows
Load and Run Pipeline
Load ROIs
Mask Borders
Mask Frames by Plot Values
Mask Images
Measure Object Intensity
Measure Object Morphology
Mirror or Rotate (new image)
Mirror or Rotate in Place
Multi-Dimensional Open Information
Multi-Dimensional Open Stage Position
Multi-Dimensional Reload Channel
New Image
New Time Scale
Onset Image
Open File
Optical Flow
Options
Pipeline
Pipeline Optimization
Pipeline Optimization Parameter
Plot
Plot Correlation (Colocalization)
Plot Intensities Corresponding to Segments
Plot Morphological Parameters of Segments
Plot Ratio
Plot ROI Dimensions
Plot Tracking Parameters
Potential calibration constants
Potential calibration error propagation
Potential calibration expert overrides
Projection of Vectors from a Point
Ratio
Ratiometric ROI Classifiers
ReCount Division and Cell Death
Reevaluate Segments
Remove Blank Frames
Rename
Resample Image
ROI Classifiers
Run Membrane Potential Calibration
Save ROIs
Scalar Arithmetic (image-value math)
Scalar Arithmetic Multi
Secondary Watershed Segmentation
Select
Select by Number
Sensor Noise Characteristics
Set Reference Image
Set Scaling/LUT
Set Segmentation Classifiers
Set Segmentation Intensity Classifiers
Shift Time Scale
Simple 2D Cross-correlation
Simple Segmentation
Skeletonize
Spectral Unmix
Strip to Well Cell Count
Substitute Poisson Noise
Subtract Background or Normalize
T or Z-project
Template Matching
Temporal Average Filter
Temporal Block Filter
Temporal Median Filter
Temporal Rolling Projection
Temporal Savitzky-Golay Filter
Thinness Ratio Optimization
Threshold
Time Stamp and Scale Bar
TMRM Complete Calibration
TMRM Complete Calibration with known kT
TMRM Complete Calibration with known kT and K-steps
TMRM Short Calibration between known baseline and MDC or CDC
Track Objects
Truncate or Cut
Wait for All Inputs
Watershed Segmentation
Wiener filter
Window Menu Command
Write Back Scaled Values
ΔF/F0

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:
No results for this function