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

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

Plot Morphological Parameters of Segments ( IAPlotSegmentMorphology )

Name |
Short Name |
Type |
Description |

Morphological parameter | morphology | string | Plots and saves time course of selected morphological data |

ΔF/F0 | dfperf | boolean | Calculates ΔF/F0 normalization of the trace |

Resample | resample | boolean | Resamples the trace by the time interval given in Preferences. |

Plot type (statistics to plot) | type | string | Available plot types: "Mean", "Each", "Sum", "Variance", "Variance/Mean", "SD/Mean". These statistics represent the population of segments in the image or bounded by constraining ROIs. |

Mean of all traces | allMean | boolean | Calculates a mean value of all traces for each time point. |

Median of all traces | allMedian | boolean | Calculates a median value of all traces for each time point. If "Yes" then mean calculation is disabled. |

Time course normalization | advnorm | string | This option supersedes ΔF/F0 normalization. |

Histogram and distribution | histogram | string | This option supersedes other normalization, mean and median calculations. See histogram parameters below. |

Save name | savename | string | |

Save | save | boolean | |

Confirm saving | saveconfirm | boolean | Overwrites automatically if No, pops up dialog if Yes. |

Range markers for means or rates | ranges | string | If left empty, all time points are shown, or give ranges to calculate means e.g. 1-3;7-9. Use "All" to select all time points. Try also copy/paste marks in the plot window context menu. |

Calculate rates at markers | rates | boolean | Plots slopes of traces for each range, calculated before or after normalization, as set in "Normalization". This is performed before mean of all traces calculation, if selected. |

Normalize rates | ratesnorm | boolean | Normalization is performed after rate calculation if Yes, or before rate calculation if No. |

Y-values only (no time column) | yonly | boolean | Copies y-data only to data table |

Place channels into columns | mdoutput | boolean | Organizes data in table according to multi-dimensional open parameters. See the range setting below to optionally select the range of channel numbers to appear in the output worksheet. The plot algorithm does not know what channels were previously exported, but the column position of the output is determined either relatively to currently present channel numbers in linked images, or to the range set below. |

Range of channel numbers to lay out | channelrange | string | This will set up the header of the output, when channels are laid out as columns. Set All to use all channels present in images linked to the one that is processed first. If plotting data from unlinked images, provide a range of channel numbers here, e.g. 1-3. |

Plate worksheet output | plateoutput | boolean | Organizes data in table according to microplate well associations in additional worksheets. |

Place positions into columns | stagetocolumn | boolean | Data from multiple stage positions will appear in new columns instead of being appended below the existing data. This option requires the MD output to be turned on. |

Expect only a single channel | singlechannel | boolean | Discards channel information and a single channel is recorded. Use this to suppress empty columns in output. |

New plot always entered in a new row | forcenewrow | boolean | When "Place channels into columns" is set to yes repeated plotting in a Multi-dimensional open position will enter data in the same row to make data from different channels appear next to each other. Set this to yes to override this behavior and force each plot command to create a new row in the Excel Data Window. |

Histogram: number of bins | histogrambins | integer | When the output is histogram, the histogram is calculated using this number of equal sized bins, where the lowest bin starts at the smallest data point and the highest bin ends at the largest data point. If explicit range definition is used below, the bins will bound the given range. Use zero bin size for automatic binning. |

Histogram: range | histogramrange | string | If left empty or set to "All", a histogram is generated where the lowest bin starts at the smallest data point and the highest bin ends at the largest data point. If a range is given here e.g. 100-500, then the lowest bin starts at the beginning of the range and the highest bin ends at the end of the range. |

Constrain to ROIs | constrainActiveROI | boolean | Calculates only segments overlapping (any small intersection) with the active ROI in the segmented image. |

Plots and saves time course of selected morphological data for the whole image as a mean, sum or variance of all objects or corresponding to ROIs.

When constrained to ROIs, for each ROI only those segments are calculated which have (any partial) overlap with the ROI. Parameters of the whole segments are counted, even if the segment is partially outside of the ROI.

Supports Mean, Sum and Variance calculation with the exception of "numbers" morphological parameter. These statistics represent the population of segments in the image or bounded by constraining ROIs.

Alternatively use the "Plot Type"=Each to record the selected morphological parameter for each segment.

This function plots evaluated segment data, not the visible image. If changing segmented image please use "Reevaluate Segments" before plotting segment data.

Constrain to ROIs: every segment that is at least partially within a ROI will be evaluated in whole.

Morphological parameter:

"number": total number of segments in the image or within each ROI.

"area": average pixel area of segments in the image or averaged for each ROI.

"perimeter": average perimeter of segments in the image or averaged for each ROI.

"diameter": average diameter of bounding boxes of segments in the image or averaged for each ROI.

"filament length": is a deprecated parameter, returns fiber length instead.

"branch points": for skeletonized images numbers of pixels with >2 neighbors. Average value for all segments in the image or averaged for each ROI.

"shape factor": circularity 1 for circles (could be >1 for small objects), less than 1 for non-circular, elongated or jagged objects. Average value for all segments in the image or averaged for each ROI.

"fiber length": average, approximate length of filamentous segments in the image or averaged for each ROI.

"fiber breadth": average, approximate width of filamentous segments in the image or averaged for each ROI.

"distance from active ROI": distance between the center of the segments and the boundary of the active ROI, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI. Note: using a point ROI allows faster calculation.

"distance from ROI#1": distance between the center of the segments and the boundary of ROI #1, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI. Note: using a point ROI allows faster calculation.

"distance from any ROI": distance between the center of the segments and the boundary of the nearest ROI, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI.

"depth inside ROI": distance between the center of the segments and the boundary of the bounding ROI. Average value for all segments in the image or averaged for each ROI.

Saving overwrites existing file if "Confirm saving" is set to No.

Automatic file naming convention:

To automatically generate file names use the following example:

=%LoadFolderName%_%LoadBaseName%%BACK%%LoadPositionNumber:2%w1.txt

Use any string after = and include any of the variables below between % marks; :n pads to n digits

%BACK% or %BACK:n% is (n times) backspace

Variables referring to last opened image set: %LoadFolderName%, %LoadFileName%, %LoadFileExt%, %LoadBaseName%, %LoadPositionNumber%, %LoadPositionName%, %LoadPositionCount%, %LoadPlateRow%, %LoadPlateCol%, %DocumentsFolder%, %PipelinesFolder%, %MyPipelinesFolder%

%LoadBaseName% refers to the common part of filenames within all opened files, with trailing zeros removed.

%LoadFolderName% refers to the name of the folder, that contains all of the opened files, not the path.

%LoadFolder%, %DocumentsFolder%, %PipelinesFolder%, %MyPipelinesFolder% refer to full path to the given location.

When only filename is given after the = the default folder is used. Relative path (e.g. =folder\file.txt) is appended to the default path. If no filename is given for saving, the Image Window name and default extension are used. Set default folders in the File/Set Folder Locations... menu point. Importantly, if no = is used in the beginning of the filename, then the full path needs to be entered.

Characters incompatible with the Windows files system are automatically removed from the save name. Variables and commands are case sensitive.

*ΔF/F0: ΔF/F0 normalization is performed on the data (the baseline will be set to 0. Alternatively see Baseline normalization below, *Resample: resamples along the time axis to result even time points, facilitating mean calculations between different experiments. The resampling interval can be set in the Preferences Dialog/(Data/Loading/ROIs)/Resample/X data resample interval (sec).where the baseline is set to 1). F0 is calculated as the mean of first n data points, where n is set in the Preferences Dialog/Misc/Normalization: Frames to average...

*Mean of all traces: Mean values of all traces are calculated for each time point. Mean calculation happens after optional normalization and rate calculation (see below). Mean+/-Standard Error is calculated.

*Median of all traces: Median values of all traces are calculated for each time point. Overrides the "Mean of all traces" switch. Median calculation happens after optional normalization and rate calculation (see below).

*Normalization: Each trace is normalized individually according to chosen way of normalization: None, Baseline, Endpoint, Minimum, Maximum , Percents Min to Max, Percents Baseline to Endpoint.

Baseline and endpoint are calculated as the mean of first, or last n data points, where n is set in the Preferences Dialog/Misc/Normalization: Frames to average... Minimum and Maximum is the single lowest or highest value for each time lapse. The normalization is performed by dividing all data points with the respective normalization factor for each trace independently. Normalization disables ΔF/F0 calculation. The normalization is performed before mean, median or rate calculation.

*Markers for means or rates: Enter ranges, e.g. 1-3;7-9 in frame numbers to calculate mean values or rates of traces within these ranges. The mean values will be shown in the plot or exported to tables. This calculation happens after normalization, but before trace-to-trance mean or median calculation.

*Calculate rates at markers: if ranges are set at "Markers for means or rates" enabling this will return rates calculated by linear regression on the set range for each trace and range independently. Rate calculation happens after normalization, but before trace-to-trance mean or median calculation.

Parameters affecting export and saving only:

*Y-values only: The time values are omitted during tabular export (text file or Excel).

Optionally use the Excel Data Window to record output. The following parameters control the appearance of the data in the Excel Data Window:

*Place channels into columns (former MD output): Output is organized according to channel number. Multiple runs on the same stage position will overwrite output.

*Processing different stage positions results data appearing below the previously calculated data, unless "Place positions into columns" is set "Yes". Data will be organized according to the highest channel number present among the linked images.

*Plate worksheet output: Information on plate row and column numbers are included, and data are additionally organized into plate view in additional worksheets. Data are organized on separate sheets for each channel, and separate plates for each time point and ROI.

*Expect only single channel: Only one pair of column (or one column if "Y-values only" is set "Yes") is entered into the Excel Data Window, regardless of the actual channel number and the numbers of open channels. Use this for time lapse processing of large numbers of stage positions.

*New plot always entered in a new row: When "Place channels into columns" is set to yes repeated plotting in a Multi-Dimensional open position will enter data in the same row to make data from different channels appear next to each other. Set this to yes to override this behavior and force each plot command to create a new row in the Excel Data Window. Use this switch to enable to gather stage position, row and column information using the "Place channels into columns" switch while creating multiple plots of the same channel.

**Mathematica usage:**

Result={{t1,t2,t3,...},{{ROI1t1,ROI1t2,ROI1t3,...},{ROI2t1,ROI2t2,ROI2t3,...},...}}

When constrained to ROIs, for each ROI only those segments are calculated which have (any partial) overlap with the ROI. Parameters of the whole segments are counted, even if the segment is partially outside of the ROI.

Supports Mean, Sum and Variance calculation with the exception of "numbers" morphological parameter. These statistics represent the population of segments in the image or bounded by constraining ROIs.

Alternatively use the "Plot Type"=Each to record the selected morphological parameter for each segment.

This function plots evaluated segment data, not the visible image. If changing segmented image please use "Reevaluate Segments" before plotting segment data.

Constrain to ROIs: every segment that is at least partially within a ROI will be evaluated in whole.

Morphological parameter:

"number": total number of segments in the image or within each ROI.

"area": average pixel area of segments in the image or averaged for each ROI.

"perimeter": average perimeter of segments in the image or averaged for each ROI.

"diameter": average diameter of bounding boxes of segments in the image or averaged for each ROI.

"filament length": is a deprecated parameter, returns fiber length instead.

"branch points": for skeletonized images numbers of pixels with >2 neighbors. Average value for all segments in the image or averaged for each ROI.

"shape factor": circularity 1 for circles (could be >1 for small objects), less than 1 for non-circular, elongated or jagged objects. Average value for all segments in the image or averaged for each ROI.

"fiber length": average, approximate length of filamentous segments in the image or averaged for each ROI.

"fiber breadth": average, approximate width of filamentous segments in the image or averaged for each ROI.

"distance from active ROI": distance between the center of the segments and the boundary of the active ROI, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI. Note: using a point ROI allows faster calculation.

"distance from ROI#1": distance between the center of the segments and the boundary of ROI #1, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI. Note: using a point ROI allows faster calculation.

"distance from any ROI": distance between the center of the segments and the boundary of the nearest ROI, zero for segments bounded by ROIs. Average value for all segments in the image or averaged for each ROI.

"depth inside ROI": distance between the center of the segments and the boundary of the bounding ROI. Average value for all segments in the image or averaged for each ROI.

Saving overwrites existing file if "Confirm saving" is set to No.

Automatic file naming convention:

To automatically generate file names use the following example:

=%LoadFolderName%_%LoadBaseName%%BACK%%LoadPositionNumber:2%w1.txt

Use any string after = and include any of the variables below between % marks; :n pads to n digits

%BACK% or %BACK:n% is (n times) backspace

Variables referring to last opened image set: %LoadFolderName%, %LoadFileName%, %LoadFileExt%, %LoadBaseName%, %LoadPositionNumber%, %LoadPositionName%, %LoadPositionCount%, %LoadPlateRow%, %LoadPlateCol%, %DocumentsFolder%, %PipelinesFolder%, %MyPipelinesFolder%

%LoadBaseName% refers to the common part of filenames within all opened files, with trailing zeros removed.

%LoadFolderName% refers to the name of the folder, that contains all of the opened files, not the path.

%LoadFolder%, %DocumentsFolder%, %PipelinesFolder%, %MyPipelinesFolder% refer to full path to the given location.

When only filename is given after the = the default folder is used. Relative path (e.g. =folder\file.txt) is appended to the default path. If no filename is given for saving, the Image Window name and default extension are used. Set default folders in the File/Set Folder Locations... menu point. Importantly, if no = is used in the beginning of the filename, then the full path needs to be entered.

Characters incompatible with the Windows files system are automatically removed from the save name. Variables and commands are case sensitive.

*ΔF/F0: ΔF/F0 normalization is performed on the data (the baseline will be set to 0. Alternatively see Baseline normalization below, *Resample: resamples along the time axis to result even time points, facilitating mean calculations between different experiments. The resampling interval can be set in the Preferences Dialog/(Data/Loading/ROIs)/Resample/X data resample interval (sec).where the baseline is set to 1). F0 is calculated as the mean of first n data points, where n is set in the Preferences Dialog/Misc/Normalization: Frames to average...

*Mean of all traces: Mean values of all traces are calculated for each time point. Mean calculation happens after optional normalization and rate calculation (see below). Mean+/-Standard Error is calculated.

*Median of all traces: Median values of all traces are calculated for each time point. Overrides the "Mean of all traces" switch. Median calculation happens after optional normalization and rate calculation (see below).

*Normalization: Each trace is normalized individually according to chosen way of normalization: None, Baseline, Endpoint, Minimum, Maximum , Percents Min to Max, Percents Baseline to Endpoint.

Baseline and endpoint are calculated as the mean of first, or last n data points, where n is set in the Preferences Dialog/Misc/Normalization: Frames to average... Minimum and Maximum is the single lowest or highest value for each time lapse. The normalization is performed by dividing all data points with the respective normalization factor for each trace independently. Normalization disables ΔF/F0 calculation. The normalization is performed before mean, median or rate calculation.

*Markers for means or rates: Enter ranges, e.g. 1-3;7-9 in frame numbers to calculate mean values or rates of traces within these ranges. The mean values will be shown in the plot or exported to tables. This calculation happens after normalization, but before trace-to-trance mean or median calculation.

*Calculate rates at markers: if ranges are set at "Markers for means or rates" enabling this will return rates calculated by linear regression on the set range for each trace and range independently. Rate calculation happens after normalization, but before trace-to-trance mean or median calculation.

Parameters affecting export and saving only:

*Y-values only: The time values are omitted during tabular export (text file or Excel).

Optionally use the Excel Data Window to record output. The following parameters control the appearance of the data in the Excel Data Window:

*Place channels into columns (former MD output): Output is organized according to channel number. Multiple runs on the same stage position will overwrite output.

*Processing different stage positions results data appearing below the previously calculated data, unless "Place positions into columns" is set "Yes". Data will be organized according to the highest channel number present among the linked images.

*Plate worksheet output: Information on plate row and column numbers are included, and data are additionally organized into plate view in additional worksheets. Data are organized on separate sheets for each channel, and separate plates for each time point and ROI.

*Expect only single channel: Only one pair of column (or one column if "Y-values only" is set "Yes") is entered into the Excel Data Window, regardless of the actual channel number and the numbers of open channels. Use this for time lapse processing of large numbers of stage positions.

*New plot always entered in a new row: When "Place channels into columns" is set to yes repeated plotting in a Multi-Dimensional open position will enter data in the same row to make data from different channels appear next to each other. Set this to yes to override this behavior and force each plot command to create a new row in the Excel Data Window. Use this switch to enable to gather stage position, row and column information using the "Place channels into columns" switch while creating multiple plots of the same channel.

Result={{t1,t2,t3,...},{{ROI1t1,ROI1t2,ROI1t3,...},{ROI2t1,ROI2t2,ROI2t3,...},...}}