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

Count Division and Cell Death ( IACountDivAndDeath )

Parameters:
Name Short Name Type Description
Type of Algorithm type string
Death (intensity) Threshold thresholdIntensity real Dead cells stain brighter than live ones with nuclear stains, this threshold value distinguishes dead cells form live ones.
Division (derivative) Threshold thresholdDerivative real Mitotic cells stain brighter than live ones with nuclear stains, this threshold value distinguishes mitotic cells form live ones.
Width of differentiation window derivwidth integer
Width of observation window transientwidth integer How long does a change persists (in frames)
Maximal parent-daughter distance divdist real Distance of parent and daughter in pixels when first detected.
Maximal parent cell size maxparentsize integer Area in pixels, applied to observation window. 0 = disabled
Maximal daughter cell size maxdaughtersize integer Area in pixels, applied to the observation window. 0 = disabled
Minimal cell size mincellsize integer Area in pixels, minimal size to be counted as live cell. 0 = disabled
Data Table Output dataoutput boolean Shows results in text window or Excel Data Window.
Description:
Counts Cell Division and Cell Death in image series of nuclear staining.
Image A has to be segmented and tracked first.
Image B is the original (or high pass filtered) nuclear staining image.
Division is defined by an increase followed by a decrease in the fluorescence intensity of the same object in time. The increase and the decrease each has to happen in a time window given by "Width of observation window" after each other. The increase and the decrease has to be over a threshold "Division (derivative) Threshold" given in intensity change per frame.
Daughter cell is defined by a decrease in intensity without previous increase.
Dead cell is defined by a permanent increase over the "Death (intensity) Threshold". Cells above the threshold from the beginning are excluded from the analysis. Daughter cells appearing after a division event within "Maximal parent-daughter distance" are assumed to belong to the same event. Pairs of daughter cells appearing together within "Maximal parent-daughter distance" or alone are assumed to be also a division event. Thus the total number of divisions is divisions + pairs of daughter cells + solo daughter cells.
Events are not detected in the last "Width of observation window" frames because the fate of the cell cannot be determined here. These frames are excluded from the calculation of the time span of the experiment.
The "Width of differentiation window" is typically 5, should be less than the "Width of observation window". Larger values suppress noise.
The analysis if further constrained by the following rules for detection of division or daughter events:
- Maximal size criteria
- Increasing mean fluorescence cannot be associated by decreasing summed fluorescence
- Decreasing mean fluorescence cannot be associated by increasing summed fluorescence
- The size of daughter cell cannot decrease
- The intensity has to increase (or decrease) slower than "Death (intensity) Threshold" per frame
Manual touchup:
Use the segment selector in the toolbar to add or remove events, and the "ReCount Cell Division and Cell Death" function to plot data.
Use the Excel Data Window to handle the results.