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Reconstruction
3D Toolbox » Reconstruction
Tutorial Shows the workflow for creating, processing, visualizing, and measure a 3D Reconstruction. Downloads You may download the below assets to use as learning tools and follow this tutorial. ⇩ Raw Dataset ⇩ Calibration Data ⇩ Segmentation…
*Grayscale Reconstruction
Image Processor » Functions » Pre-Processing » *Grayscale Reconstruction
Pre-Processing > *Grayscale Reconstruction Requires B/W Companion Image Changes grayscale pixel values based on features in the Companion Image. Available modes are morphological reconstruction, impose minima (ensures that minima in the grayscale image only occur…
Connecting a Camera
Live » Connecting a Camera
The list of available cameras is populated when the Image Processor is opened. To connect to a camera, select it from the camera dropdown: Reselecting a camera from the dropdown will reset the connection to the camera. When a camera is selected, MIPAR will take…
Running a Batch
Batch Processor » Running a Batch
Tutorial Shows how to setup and run a batch process to segment and measure features from a set images.
Reviewing a Batch
Session Processor / AI Session Processor » Measurements (formerly Post Processor) » Reviewing a Batch
Tutorial Shows how to review and edit multiple images after they have been batch processed to segment features of interest. Manual Editing For a list of available manual editing tools and their descriptions, please click the links the below: Manual Editing…
Setting up a Camera
Live » Setting up a Camera
The Camera Setup window is accessed from the Preferences window, using the (1) Calibrate Objectives button. The Camera Setup window allows the user to rename the camera’s display name in the (2) camera dropdown, as well as define (3) preset objectives and…
Saving a Captured Image
Live » Capturing Images » Saving a Captured Image
To save an image once it has been captured, use either the Save Image button or the Save Captured Image menu item. When an image is saved, the time of capture, camera vendor and model, and calibration (if it exists) are saved into the file’s metadata if the…
3D Toolbox
Getting Started » Tutorials » 3D Toolbox
Overview of 3D Reconstruction Shows the workflow for creating, processing, visualizing, and measure a 3D Reconstruction. Downloads You may download the below assets to use as learning tools and follow this tutorial. ⇩ Raw Dataset ⇩ Calibration Data ⇩…
Layout
3D Toolbox » Layout
Below are labeled screenshots of the 3D Toolbox which reveals the layouts of and purpose behind each user interface element. Layout #1: Recon (recommended when working with a reconstruction) Shows the Reconstruction side only. Used when working with a…
Count
3D Toolbox » Measurements » Count
3D Measurements > Count Reports how many selected features are present in the reconstruction.
Volume
3D Toolbox » Measurements » Volume
3D Measurements > Volume Measures the total volume of selected pixels in the reconstruction.
Measurements
3D Toolbox » Measurements
Global Measurements Global Measurements report one measurement per reconstruction. Common measurements include volume fraction of features, total surface area of features, and number density. Click any link below for descriptions of the many global measurements…
Manage Layers
Image Processor » Functions » View » Manage Layers
View > Manage Layers While Layers are most conveniently set, edited, and removed from the controls directly in the Image Processor, this window allows more control over Layer positioning. It also provides a comprehensive management center for your Layers. Layers are…
Slice-by-Slice Measurements
3D Toolbox » Measurements » Slice-by-Slice Measurements
Measurements > Slice-by-Slice Measurements Slice-by-Slice Measurements allows a variety of measurements to be made from each feature in each X-Y slice in the reconstruction. The 3D feature labeling is retained throughout the slices. Details of available measurements…
Volume Fraction
3D Toolbox » Measurements » Volume Fraction
3D Measurements > Volume Fraction Measures the volume fraction of the selected pixels in the reconstruction. Counts all selected pixels in the active layers and divides it by the number of pixels in the layer specified in the “Relative To” window.…
Supported Formats
Getting Started » Supported Formats
2D Formats The following 2D image formats are supported for use in the Image Processor, Batch Processor, Real-Time Processor, and Session Processor: TIF JPG BMP PNG GIF Bio-Formats (over 150 formats ) Requires downloading the Bio-Formats package and placing…
3D Toolbox
3D Toolbox
Requires 3D Extension The 3D Toolbox is used for visualizing and editing Image Stacks as well as visualizing, editing, and quantifying 3D Reconstructions. Reconstructions can be exported to other visualization applications such as commercial Avizo and open source…
v4.0.1 Release Notes
Release Notes » v4.0.1 Release Notes
Improvements Included new Report Generator templates with fields for curve fit outputs. You will be prompted to replace current templates on first launch of v4.0.1.0. Apply Model will no longer force a minimum size factor. Measure Feature tool added to Session…
Visualization
3D Toolbox » Visualization
MIPAR MIPAR provides basic tools for visualizing your 3D Reconstruction with tools like volume slicing, surface rendering, and simple animation. Avizo Avizo is the leading high-performance 3D visualization and analysis software for scientific and industrial data. We…
Pre-Processing
Image Processor » Functions » Pre-Processing
Contains functions for manipulating grayscale pixel intensity. These functions as typically used as precursors to segmentation and clean-up steps, to improve the accuracy of the final feature selection. Functions Contrast Adjust Contrast Histogram…
v4.2.1 Release Notes
Release Notes » v4.2.1 Release Notes
Improvements Flatten background can now accept an empty value. Bug Fixes Improved MIPAR error handling when loading a broken recipe. Improved Report Generator handling of vector elements in the current panel. Scale factor stays accurate after the last…
Batch Pause and Resume
Batch Processor » Batch Pause and Resume
Resuming a batch It is possible to resume a batch process that has finished or been stopped, provided the session has not been edited in the Session Processor. To resume a batch, use the “Resume Session” button to load the session file (.ssn or…
v3.3.2 Release Notes
Release Notes » v3.3.2 Release Notes
New Features Slice-by-Slice Measurements in 3D Slice-by-Slice Measurements can now be made in the 3D Toolbox. This enables any of the Feature Measurements to be made from all X-Y slices, where each slice’s feature labeling is based on the full 3D labeling.…
Feature Measurements
3D Toolbox » Measurements » Feature Measurements
3D Measurements > Feature Measurements Feature Measurements allows a variety of measurements to be made from each feature in the reconstruction or Layer. 1. Size Volume: Volume of each feature. Volume Fraction: Volume fraction occupied by each feature…
Intercepts
3D Toolbox » Measurements » Intercepts
3D Measurements > Intercepts Random Lines Measures metrics such as mean intercept by drawing a specified number of random lines through the features in the reconstruction. 1. Number of Lines Number of lines to draw 2. Noise Removal Method for removing small…
Keyboard Shortcuts
Getting Started » Keyboard Shortcuts
*On Mac systems, use CMD instead of CTRL. All Windows Zoom CTRL+D or Scroll Wheel Pan CTRL+F or Scroll Click and Drag Toggle Zoom/Pan CTRL Measure (if appl.) CTRL+M Recipe Step Preview…
v4.3.0 Release Notes
Release Notes » v4.3.0 Release Notes
New Features Custom Measurements MIPAR now supports user defined measurements using formulas and mapping. Define new measurements using algebraic expressions, using existing measurements and other custom measurements as arguments. Map any measurement output to…
v4.4.0 Release Notes
Release Notes » v4.4.0 Release Notes
New Features Pause/Resume Batch Processing We are pleased to introduce a new Save/Resume feature to our Batch Processor and Real-Time Processor, which allows users to pause active batch or real-time processing, and resume at a later time. Previous sessions…
Blank
Image Processor » Functions » Segmentation » Blank
Segmentation > Blank Creates a blank segmentation. Useful for manually creating seeds with “Manual Edit” for use with steps such as “Region Grow”, “Active Contour”, and “Local Threshold Tips Use in combination with…
Image Processor
Getting Started » Tutorials » Image Processor
Detecting Creating a Recipe Describes the process of creating a segmentation recipe to identify features of interest in an image. Optimizing Steps Shows the procedures and applications for optimizing, or objectively determining, image processing…
GPU Computation
Getting Started » GPU Computation
Enable From any app, launch File > Preferences. In the GPU panel, set to “GPU Computation” to “On” if you have a supported GPU. Click here to learn more about the technical aspects and benefits of GPU computation. *GPU computation requires an…
Release Notes
Release Notes
v1.x.x Release Notes v2.x.x Release Notes v3.0.0 Release Notes v3.0.1 Release Notes v3.0.2 Release Notes v3.0.3 Release Notes v3.0.4 Release Notes v3.0.5 Release Notes v3.1.0 Release Notes v3.1.1 Release Notes v3.1.2 Release Notes v3.2.0 Release…
Segmentation
Image Processor » Functions » Segmentation
Contains functions for selecting features in the image. These operate on grayscale images and range from simple such as Basic Threshold, to more advanced such as Adaptive Threshold and Watershed. Functions Invert Blank Manual Edit Threshold Basic…
Morphology
Image Processor » Functions » Morphology
Contains functions for manipulating the shape and size of selected features. These include functions such as dilation, erosion, separation, skeletonization, and shape replacement. Functions Dilate and Erode Dilate - Uniform - Smart - Retain Erode - Uniform -…
File
Image Processor » Functions » File
Contains functions for image opening and saving, as well as Recipe loading and saving. Functions Open Image Open Recent Image Open Images as Channels Load Reference Image Load Recipe Load Recent Recipe Save Current Image Save Reference Image Save All…
Measurements
Image Processor » Functions » Measurements
Layout 1. Active measurement 2. Show/Hide Measurements Panel 3. Run active measurement on active Recipe step or shown Layers 4. Edit active measurement settings 5. Edit which Layers the active measurement is executed on 6. Generate measurements report for all…
Live
Live
MIPAR Live is an extension that allows MIPAR to connect directly to a supported camera and capture images to analyze. It provides a direct path from image capture to analysis, without having to switch software or load image files into MIPAR. Topics Supported…
Image Processor
Image Processor
The Image Processor is the most commonly used app. It is used for building and editing Recipes, as well as applying Recipes to single images. Recipes are sequences of image processing steps, in the right order and with the right settings, which work to identify…
Math
Image Processor » Functions » Math
Contains functions for performing mathematical operations between two images. These operations can range from blending two grayscale images together, to only keeping features in one image that contact features in another. Functions Operations on selection masks…
Edit
Image Processor » Functions » Edit
Contains functions for editing image dimensions and manipulating image position and rotation. Functions Undo Burn Scale Bar Set as Reference Image Size Crop Image Resize Image Position Rotate Image Flip Image Translate Image *Register…
Functions
Image Processor » Functions
This section provides details on all functions available in MIPAR’s Image Processor. Each function’s page contains the following information: Title Path Summary Screenshot (if applicable) Parameters (if applicable) References (if…
v1.x.x Release Notes
Release Notes » v1.x.x Release Notes
1.6.3 1.5.6 1.5.4 1.5.1 1.5.0 1.4.1 1.4.0 1.3.2 1.3.1 1.3.0 1.2.0 1.1.2 1.1.1 1.1.0 1.0.2 1.0.1 1.0.0
Measurements
Image Processor » Measurements
Measure Image Global measurements report one measurement per image. Common measurements include area fraction of features, total perimeter of features, and number of features. Click any link below for descriptions of the many global measurements available in…
Getting Started
Getting Started
Welcome to the MIPAR User Manual! This manual is meant to complement the various tutorials and 1-on-1 training sessions available on the MIPAR website. It offers an overview of the each application, and provides a comprehensive description of the Image…
Tutorials
Getting Started » Tutorials
Watch video tutorials on how to use many of MIPAR’s features: Overview Image Processor Batch Processor Session Processor AI Session Processor 3D Toolbox
Clean-Up
Image Processor » Functions » Clean-Up
Contains functions for selectively removing features from the segmentation. Most commonly used is the Reject Features tool, which can remove or keep features based on a variety of shape and size metrics. Functions Reject Reject Features Fill All Holes Relative…
Release Notes
Python API » Release Notes
v3.3.1 API Release Notes v3.3.4 API Release Notes v3.4.0 API Release Notes v3.4.1 API Release Notes v3.4.2 API Release Notes v3.4.4 API Release Notes
AI (formerly Deep Learning Trainer)
Session Processor / AI Session Processor » AI (formerly Deep Learning Trainer)
Requires Deep Learning Extension The Deep Learning Trainer is used to train deep learning models, which are capable of automating some of the most challenging feature detection problems across many applications. Below is a short video demonstrating the use of the…
Batch Processor
Batch Processor
The Batch Processor is used for batch applying a Recipe to multiple images. A batch process will save the last Recipe step (or each Layer step) for each image, along with a spreadsheet of any global or feature measurements that were set in the Recipe.…
Typical Workflow
Checkpoint (beta) » Typical Workflow
The typical workflow unit is the “project”. Projects consist of a batch of images, a recipe to analyze those images, and a set of analysis results consisting of measurement files and a PDF report. Projects are created at the MIPAR Checkpoint analysis…
Python API
Python API
Welcome to MIPAR Python API documentation. This documentation will describe the library capabilities and outline some example workflows. Topics Introduction Install and Activate System Requirements Library Release Notes
Memory
Image Processor » Functions » Memory
Contains functions for storing and recalling images from various image memory slots. Functions Companion Image Set Companion Image Load Companion Image Call Companion Image Memory Set Memory Image #1-6 Call Memory Image #1-6 Call Original Image Tutorial …
Layout
Live » Layout
Access to MIPAR Live is gained through 1. the Recipe/Live Mode toggle. MIPAR Live MIPAR Live is laid out in three main sections, from right to left: Camera Controls, Live Image Preview, and Captured Image. Generally, a workflow proceeds from right to left as: 2.…
Library
Python API » Library
This is the current list of methods in the MIPAR API Method Purpose Link initialize Initialize miparAPI library Link startLicenseMan Initialize license manager Link activatePK Activate product key…
Install and Activate
Getting Started » Install and Activate
Documents Installation + Trial Activation – WINDOWS Describes procedures for installing, activating, and setting up MIPAR on Windows systems Installation + Trial Activation – MAC Describes procedures for installing, activating, and setting up MIPAR…
REST API
REST API
Welcome to MIPAR REST API documentation. This documentation will describe the library capabilities and outline some example workflows. !The REST API is still in Beta and under active development. Updates will be posted in the Release…
Manual Edit
Image Processor » Functions » Segmentation » Manual Edit
Segmentation > Manual Edit Opens the Current Image in an editor which allows for manual edits to its segmentation. Here you can add missed features and remove artifacts. Also useful for manually defining a region of interest (ROI), which when set in a memory image,…
Capturing Images
Live » Capturing Images
(1) Connecting the camera: Images can be captured from a camera after it has been connected with the camera dropdown. (2) Previewing the camera: Optionally before you capture an image, you can preview a live feed of the camera’s field-of-view with the Preview…
Session Processor / AI Session Processor
Session Processor / AI Session Processor
Application Description The Session Processor and AI Session Processor is used to review Batch Process Sessions, generate measurements on a data set and train new Deep Learning Models. Topics Layout Measurements AI Training
Introduction
Getting Started » Introduction
MIPAR is a revolutionary image analysis software, capable of identifying and measuring features from nearly any image one can capture. Our users have shown it to be perhaps the most the efficient and flexible image processing software on the planet. Through five…
Similarity
Image Processor » Functions » Pre-Processing » Similarity
Contains filters that detect similarity and symmetry within an image or between two images. Pattern Mapping Orthogonal Correlate Symmetry Mapping *Cross-Correlate
Color
Image Processor » Functions » Color
Contains functions that operate on colored original images, producing grayscale Current Images from combinations of the various color channels. Functions Color Select Color Cluster Color Deconvolution Channel Operation
AI Session Processor (formerly Deep Learning Trainer)
Getting Started » Tutorials » AI Session Processor (formerly Deep Learning Trainer)
Demo Video illustrating the use of the AI Session Processor Tracing Shows examples of tracing features of interest to develop training data. Training Shows example of training a deep learning model. Applying Shows example of applying a deep learning model to a…
Erode
Image Processor » Functions » Morphology » Erode
Contains morphological operations which reduce a selection mask according to certain parameters. Functions Erode Uniform Erode Smart Erode Retain
Dilate
Image Processor » Functions » Morphology » Dilate
Contains morphological operations which expand a selection mask according to certain parameters. Functions Dilate Uniform Dilate Smart Dilate Retain
v4.0.0 Release Notes
Release Notes » v4.0.0 Release Notes
New Features Curve Fitting Added curve fitting to the Color by Measure, Local Measurements and Histogram of Measurements windows. Users are now able to add normal, log normal and bimodal fits to their data, as well as display fit parameters. These are…
The Recipe
Image Processor » The Recipe
MIPAR’s unique technology is the Recipe. Like an engine of a car, you use the one that’s right for the job. Make them yourself, start with one from the 80+ built-in templates, or get one custom-designed for you. Recipes are built in the Image Processor,…
View
Image Processor » Functions » View
Contains functions for viewing the Current Image’s histogram, finding a specific feature by its ID number, and managing various properties of Recipe Layers. Functions Image Histogram Specific Feature Manage Layers
Measurements (formerly Post Processor)
Session Processor / AI Session Processor » Measurements (formerly Post Processor)
The Session Processor is used for reviewing the results of a batch or real-time process. All saved processed images are loaded and overlaid/outlined, etc. on their respective references. The user can flip through each processed result to assess accuracy. Manual edits…
Real-Time Processor
Real-Time Processor
The Real-Time Processor is similar to the Batch Processor, but used for applying a Recipe to multiple images, every time a new image is added to a folder being “watched”. Any global or feature measurements added to the recipe will be output into the save…
Report Generator
Report Generator
Requires Report Extension The Report Generator is used to export MIPAR results into a Microsoft Office Word or PDF document. Topics System Requirements Layout Templates
v3.4.3 Release Notes
Release Notes » v3.4.3 Release Notes
Bug Fixes Using Replace with Triangulation on a segmentation with one feature will no longer cause a recipe failure Generating a summary report out of the Post Processor will no longer produce an error Generating Rotating Intercepts measurement on an empty…
v3.3.4 API Release Notes
Python API » Release Notes » v3.3.4 API Release Notes
Functionality All engine changes have been brought over from: v3.3.4, v3.3.3, and v3.3.2
v3.3.4 Release Notes
Release Notes » v3.3.4 Release Notes
Improvements Translate Image now supports either black or white image padding API product will now appear in list after activation if on user’s license Bug Fixes Fixed bug which could cause Local Measurements to not launch properly Fixed bug where…
Spotlight ✧˙₊
Spotlight ✧˙₊
Spotlight enables the next generation of feature detection. It is a based-on groundbreaking generalized artificial intelligence, enabling software to “see” objects from simple to complex, even those it has not been trained on. The technology has been…
Deep Learning
Image Processor » Functions » Deep Learning
Contains functions for applying AI-based models for feature detection. Models are created in the Deep Learning Trainer. Functions Apply Model Call Output
v4.2.0 Release Notes
Release Notes » v4.2.0 Release Notes
New Features Recipe Templates MIPAR now ships with a fully interactive environment to browse and try over 80 pre-built recipe templates. Sort by category, search, and even watch videos on the available templates. Each recipe also offers an example image to…
v3.3.0 Release Notes
Release Notes » v3.3.0 Release Notes
New Features Express Licenses Express Licenses are now available. These “runner licenses” are available at reduced rates and only allow recipe running (not building). Express Licenses provide all other Base License functionality. They are an…
Activation Troubleshooting
Getting Started » Install and Activate » Activation Troubleshooting
Error During Cause Possible Solution MIPAR crashes on starup or during launching of an app OR HASP API DLL dynamically unloaded with active logins Startup MIPAR crashed on startup and thus did not properly log out of the license.…
v3.0.0 Release Notes
Release Notes » v3.0.0 Release Notes
Major New Features Deep Learning The most significant new technology to come to MIPAR yet. Teach MIPAR to detect even the most complex features simply by tracing. Models are trained in the new Deep Learning Trainer. Trained models can be applied to images as…
Checkpoint (beta)
Checkpoint (beta)
MIPAR Checkpoint, with auditing provided by TotalLab AuditSafe, is specially designed to provide 21-CFR Part 11 (US) and GMP Annex 11 (EU) compliance. A typical MIPAR Checkpoint setup consists of three parts: A MIPAR recipe A TotalLab AuditSafe Server A MIPAR…
General Layout
Session Processor / AI Session Processor » General Layout
Below is labeled screenshot of the Post Processor which reveals the layout of and purpose behind each user interface element. Measurements Layout AI Layout *See the Keyboard Shortcuts page for shortcuts relevant to the Post Processor.
Frequency
Image Processor » Functions » Pre-Processing » Frequency
Contains filters that work by manipulating the image’s FFT (fast-Fourier transform), which expresses pixels in frequency space. FFT Filter Make FFT Apply Stored FFT Filter
v4.2.2 Release Notes
Release Notes » v4.2.2 Release Notes
Improvements Added dedicated Path Length image and feature measurements Added ability to measure the exact floating-point Euclidean distance map as a Feature Image Intensity measurement Feature Measurements > Intercepts options have been changed from…
Update Instructions
Python API » Update Instructions
Major Update (v _.x.x) Download the install pack from provided link Make sure the system is running a Python version that is compatible with the MIPAR Library Run MIPAR-API_vx.x.x_InstallPack.Win.exe and follow the wizard Minor Update (v x. _ . _) into Standard…
Path Length
Image Processor » Functions » Measurements » Path Length
Measurements > Path Length Measures the total path length of features in the current image. This path is first calculated by applying the Thin function, and then the path length is calculated with a formula similar to that used in Vossepoel and Smeulders, 1982 with…
v3.4.0 API Release Notes
Python API » Release Notes » v3.4.0 API Release Notes
Functionality All engine changes have been brought over from: v3.4.0 exeRecipe now accepts a python numpy array as an input: exeRecipe added aboutAPI method which returns the API version, and license status: aboutAPI Hotfixes 3.4.0.2 Summary stats of some…
Applying
Session Processor / AI Session Processor » AI (formerly Deep Learning Trainer) » Applying
Once a deep learning model is trained, it can be applied to a new image to automate feature detection. Effectively, application of a deep learning model results in a pre-processed version of the original image, where features of interest are “lit-up”…
Exporting Results
Checkpoint (beta) » Typical Workflow » Exporting Results
1. Obtain supervisor sign-off 2. Log into MIPAR Checkpoint with a user that has “Check-Out (R/O)” permissions, using the instructions in Performing Analysis 3. Select the project, then select “Check Out (Non-editable)” 4. Select…
Controlling Camera Settings
Live » Controlling Camera Settings
Camera settings are controlled in the right-most panel of the Image Processor, in the same location as the Recipe panel in Recipe Mode. Basic settings are exposed directly in this panel. Advanced settings are available through the Advanced Settings button at the…
Brightness, Contrast, and Color
Live » Controlling Camera Settings » Brightness, Contrast, and Color
Image brightness and color balance are controlled by the bottom two sections of the Camera Control Panel. Available settings are Exposure, Gain, Black Level, and Color Balance Red/Green/Blue. These are manipulated using the provided sliders, with the minimum,…
Install and Activate
Python API » Install and Activate
Standard Install Library Download the installation package provided to you by the MIPAR support team. Install python 3.7,3.8 or 3.9 Add python to Windows path Run MIPAR-API_v.x.x.x_InstallPack_Win.exe. Follow extraction and installation wizard instructions. The…
Apply Model
Image Processor » Functions » Deep Learning » Apply Model
Deep Learning > Apply Model Applies a trained deep learning model to the selected image. Output can be a probability map of any of the trained layers, or a layer map. A probability map indicates each pixel’s likelihood to belong to that layer. A layer map…
v4.5.0 Release Notes
Release Notes » v4.5.0 Release Notes
New Features Spotlight Extension We are excited to introduce MIPAR Spotlight. Integrated into the Image Processor, Spotlight enables the next generation of feature detection. Spotlight behaves like any other detection Recipe step, so MIPAR Clean-up,…
Calibrating The Scale
Image Processor » Calibrating The Scale
Embedded Image Scale Factors MIPAR can read embedded scale factors from over 150 file formats once the Bio-Formats plugin is in place. See the Supported Formats page for more information on setting up this plugin. If an image is opened which contains an embedded…
Simple Recipe Mode
Image Processor » Simple Recipe Mode
Simple Recipe Mode collapses the Recipe display, showing only flagged steps and layers. This enables the Recipe end-user to easily ignore most steps and make adjustments only to important ones, without having to search through the entire Recipe. In addition, the…
Batch Analysis
Live » Batch Analysis
To perform batch analysis of captured images, use either the Batch Processor or the Real-Time Processor. The Batch Processor is useful if you wish to perform the analysis once all the images have been captured. The Real-Time Processor is useful if you wish each image…
v4.1.2 Release Notes
Release Notes » v4.1.2 Release Notes
Bug Fixes Fixed error when optimizing a step compared to the companion image. V2C files could display as failed despite activating successfully. Preferences window would fail to close under some conditions. Undo no longer resets a layer color change if an…
Color by Measurements
Image Processor » Functions » Measurements » Color by Measurements
Measurements > Color By Measurements Colors the separate features in the Current Image according to a set of feature measurements. 1. Load If you have already generated measurements beforehand and then decide to produce a color-coded image, you can load the…