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

Automatic ROI drawing ( IAAutoROI )

Parameters:
Name Short Name Type Description
Frame frame integer From which frame to calculate ROIs. 0 uses projection
Projection type type string Generates ROI from projection image if the frame number is 0
Max number maxnumber integer Maximal number of ROIs to place.
Minimal intensity (percentiles) minint real Selects only cells brighter than the minimal intensity given in percents of the intensities between 5 and 99 percentile.
Progressive tolerance progressive boolean If Yes, tolerance is changed in order to provide ROI sized between the minimum and maximum size limits
Tolerance factor tolerance real Pixels dimmer than (mean-tolerance*stdev) are outside of the boundary of the ROI. This is the starting value, if progressive.
Gamma gamma real Gamma correction to be applied on the intensity values before ROI drawing (this does not affect actual image data).
Minimum size (pixels) minpixelsize integer Minimum number of pixels in the ROI.
Maximum size (pixels) maxpixelsize integer Maximum number of pixels in the ROI.
Start size (pixels) startpixelsize integer The initial mean and stdev values are calculated from a "Start size" sized patch of pixels. A median filter with start window size is applied, so larger start size overlooks small objects.
Dilation size (pixels) dilatesize integer The ROI is finally dilated, or set it zero to disable dilation.
Exclusion size (pixels) excludesize integer No other ROIs will be drawn into exclusion size vicinity of a ROI.
Description:
Draws ROIs automatically by repeatedly applying the magic wand tool on the brightest objects.
Staring with the brightest pixel of the image, the magic wand tool is applied with a given tolerance. If progressive tolerance is set Yes, and the encircled area is smaller or larger than the minimum or maximum size constraints, the magic wand tool is reapplied with increased or decreased tolerance, respectively. Otherwise regions outside of size constraints are discarded. The final ROI is grown by the Dilation size, and no magic wand tool is reapplied in Exclusion size vicinity. ROI drawing is performed in a median filtered projection image, where the frame range and type of projection is set by the Frame and Projection type parameters, and the window size of the median filter is the start size. The magic wand tool is reapplied on the remaining brightest pixels of the image, until Max number of magic wand applications is reached, or the brightest pixel has a lower intensity than the percentile value set by the Minimal intensity parameter.