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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…
Specific Feature
Image Processor » Functions » View » Specific Feature
View > Specific Feature Specific Feature allows you to view where the feature is in the image by highlighting. The list of feature numbers can be found by generating feature measurements. Then, you will be able to tell what the maximum number of features you…
Feature Measurements
Image Processor » Functions » Measurements » Feature Measurements
Measurements > Feature Measurements Feature Measurements allows a variety of measurements to be made from each feature in the image or Layer. 1. Size Area: Area of each feature. Area Fraction: Area fraction occupied by each feature relative to entire…
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
Find Facial Features
Image Processor » Functions » Segmentation » Advanced » Find Facial Features
Segmentation > Advanced > Find Facial Features Finds facial features in the Current Image such as frontal faces, profile faces, eyes, nose, mouth, and others. 1. Feature Sets type of facial feature to detect Face Frontal: Detects front-facing faces using…
Superpixels
Image Processor » Functions » Pre-Processing » Superpixels
Segmentation > Superpixels Groups pixels into regions with similar values. This can be a helpful processing step prior to other segmentation or feature-finding steps. Uses the simple linear iterative clustering (SLIC) algorithm [1,2]. 1. Type Statistic to use to…
Find Edges
Image Processor » Functions » Segmentation » Find Edges
Segmentation > Find Edges Sets edge pixels as empty using the specified edge finding algorithm [1-3]. 1. Type The edge finding algorithm used Sobel: Detect edges using the Sobel algorithm Prewitt: Detect edges using the Prewitt algorithm Roberts:…
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…
Find Circles
Image Processor » Functions » Segmentation » Find Circles
Segmentation > Find Circles Finds circles in the Current Image using an algorithm based on searching within the image’s Hough transform. This function can take some time to complete depending on the size of and number of circles in the image. 1. Method Sets…
Replace With
Image Processor » Functions » Clean-Up » Replace With
Clean-Up > Replace With Replace each feature in the Current Image with the selected representative feature. Box Replaces each feature with its bounding box. Caliper Diameter Replaces each feature with its caliper diameter. Centroid Replaces each feature with…
Reject Features
Image Processor » Functions » Clean-Up » Reject Features
Clean-up > Reject Features Removes objects or fills holes based on their selected parameters being above or below a specified threshold. Parameter options include area, eccentricity, convex area/area ratio, and many more. Neighborhood conditionals are also optional,…
Measurement Layout
Session Processor / AI Session Processor » Measurements (formerly Post Processor) » Measurement Layout
Measurement Panel Layout Image Add global measurements, for example; total layer area, layer feature count, layer area fraction. Feature Add feature measurements, for example; area per feature, roundness per feature, nearest neighbor distance per feature. View…
Orthogonal Correlate
Image Processor » Functions » Pre-Processing » Similarity » Orthogonal Correlate
Pre-Processing > Matching > Orthogonal Correlate Sets each pixel of the Current Image to the average correlation coefficient between its window and the windows in each of the four orthogonal directions. Can be used to identify regions of certain symmetries in…
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…
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…
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…
Auto Segmentation
Image Processor » Functions » Segmentation » Auto Segmentation
Segmentation > Auto Segmentation May use up to two B/W memory images Uses Smart Find™, geodesic distance, or marker-based watershed segmentation to auto-identify features based on two seed images. One seed image roughly identifies features and the other the…
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…
Custom Measurements
Image Processor » Functions » Measurements » Custom Measurements
Custom Measurements Custom Measurements can be generated as an image measurement or a feature measurement. Image measurements result in a single value per image, feature measurements result in per feature measurements. Custom measurements allow for user defined…
Variables and Operators
Image Processor » Functions » Measurements » Custom Measurements » Variables and Operators
Variables and Operators Helpful list of all valid formula operators and their syntax as well as built in and custom measurement variables. Variables and Operators windows is accessed through Custom Measurement Manager>Create New/Edit>Variables/Operators 1.…
Watershed
Image Processor » Functions » Segmentation » Watershed
Segmentation > Watershed Segments the Current Image by first interpreting its grayscale values as topography (ie, basins within level ground). A rainfall simulation is then run such that areas of similar intensity are separated from others, where their basins fill…
StdDev Filter
Image Processor » Functions » Pre-Processing » StdDev Filter
Pre-Processing > StdDev Filter Accentuates edges by brightening pixels which have dissimilar neighbors. Sets each pixel in the Current Image equal to the standard deviation of the pixel values in its specified neighborhood. 1. Window Size Size of neighborhood…
Advanced Texture
Image Processor » Functions » Pre-Processing » Advanced Texture
Pre-Processing > Adjust Texture Uses advanced algorithms to highlight various forms of texture in an image. Options include measuring aspects of each pixel’s Hessian matrix [1] and Gabor filters [2]. 1. Type Module: Trace: Note that the trace of…
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…
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…
Count Fraction
Image Processor » Functions » Measurements » Count Fraction
Measurements > Count Fraction Measures the count of features in the Current Image as a percentage relative to the count of features in a chosen Memory Image. 1. Measure Relative To Choose which Memory Image to use to measure the count fraction. The feature count…
Smooth Features
Image Processor » Functions » Morphology » Smooth Features
Morphology > Smooth Features Smooths feature boundaries using a specified window size. The threshold parameter controls the degree of feature erosion or dilation that also occurs. 1. Window Size Window size which passes over each pixel for smoothing. Larger…
Bulk Measurements
Session Processor / AI Session Processor » Measurements (formerly Post Processor) » Bulk Measurements
Tutorial Shows how to review and edit multiple images after they have been batch processed to segment features of interest. Measurements For lists of available measurements and their descriptions, please click the links below: Global Measurements Feature…
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.…
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…
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…
v3.1.0 Release Notes
Release Notes » v3.1.0 Release Notes
New Features Copy & Paste It’s finally here. Now you can copy and paste an unlimited number of Recipe steps. To copy: click and drag, Shift-click, or Ctrl-click to select multiple steps and right-click > “Copy”, or “Ctrl+C”…
v3.3.1 Release Notes
Release Notes » v3.3.1 Release Notes
Bug Fixes [All Apps] Would not be properly informed of unsupported image formats when trying to open [Color by Measurements] Changing the format of feature ID labels would duplicate the labels [Deep Learning Trainer] Image would not display properly after edits…
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…
v3.4.0 Release Notes
Release Notes » v3.4.0 Release Notes
New Features Local Measurements in Recipe Add local measurements as a step in the recipe! They can be displayed with a simple click after recipe loading and summary stats (e.g., mean, min, max, etc.) of the local measurement will appear in the global…
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…
*Local Threshold
Image Processor » Functions » Segmentation » *Local Threshold
Segmentation > *Local Threshold Requires B/W Companion Image Selects pixels if they meet the specified criteria relative to each feature in the Companion Image. “Auto Threshold” mode calculates the Otsu-based optimum threshold for each feature.…
v3.2.4 Release Notes
Release Notes » v3.2.4 Release Notes
Bug Fixes Fixed bug with deleting some steps which depend on others Fixed bug where layers could all become temporarily identical when making “Outline” edits in PP and DLT Fixed bug where feature measurement stats CSV files were not properly comma…
Curve Fitting
Image Processor » Functions » Tools » Curve Fitting
Introduction MIPAR is able to fit a probability distribution curve to a measurement histogram. The supported fit types are: Normal, Log-normal and Bimodal. Normal Fit MIPAR uses a Gaussian distribution function to generate a probability curve from the feature…
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…
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…
*Keep Mutual
Image Processor » Functions » Math » *Keep Mutual
Math > *Keep Mutual Requires Companion Image Keep features from the Current Image that contact or overlap a feature in the Companion Image.
*Keep Exclusive
Image Processor » Functions » Math » *Keep Exclusive
Math > *Keep Exclusive Requires Companion Image Keep features from the Current Image that do not contact or overlap a feature in the Companion Image.
JSON Output
REST API » JSON Output
Process JSON Structure Output The process call returns a JSON structure that represents the recipe output. Field explanation: : any layers that were added to the recipe binary: the logical image that shows what was detected : statistic of any measurement that was…
Layers
Image Processor » Layers
Each Recipe step outputs either an grayscale, or B/W image. B/W images are often the goal, as the black pixels represent the selection at that point in the Recipe. If you are only targeting one set of features, a final B/W image is all you need. However, if you need to…
*Intersection
Image Processor » Functions » Math » *Intersection
Math > *Intersection Requires Companion Image Keeps the areas of features which overlay between the Current and Companion Images. Only overlapping feature areas from both images will appear in the result.
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
exeRecipe()
Python API » Library » exeRecipe()
The exeRecipe function is used to execute a given recipe on a given image and return the binary mask data and their corresponding measurements. *As of 3.4.0, exeRecipe() will no longer call startLicenseMan() before recipe execution, it must be called before exeRecipe.…
v3.1.1 Release Notes
Release Notes » v3.1.1 Release Notes
Bug Fixes Fixed bug where Feature Measurement steps would fail for Layers with no features See new features released in v3.1.0
v4.3.1 Release Notes
Release Notes » v4.3.1 Release Notes
Improvements Added the ability to save the current view from the Image Processor into a recipe, so that the view is restored when the recipe is restored. Remembered settings include Simple Mode, showing or hiding measurements, overlay vs. outline and their…
Layout
Report Generator » Layout
Report Types Available report types are as follows: Report Type Generated From Single Image Global Measurements table in Image Processor Single Image Feature Color by Measurements Single Image Local Local…
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…
Erode Retain
Image Processor » Functions » Morphology » Erode » Erode Retain
Morphology > Erode > Retain Prevents feature disconnection, while shrinking selection by a specified number of pixels in all directions 1. Depth The number of pixels by which unselected regions will be grown in all directions without disconnecting…
Dilate Retain
Image Processor » Functions » Morphology » Dilate » Dilate Retain
Morphology > Dilate > Retain Prevents feature merging, while growing selected regions by a specified number of pixels in all directions 1. Depth The number of pixels by which selected regions will be grown in all directions without merging
Local Measurements
Image Processor » Functions » Measurements » Local Measurements
Measurements > Local Measurements Generates and visualizes measurements from individual pixels in the image. 1. Measurement Select the following types of measurements you would like to see visualized in the image. Anisotropy: Measures the amount of local…
v3.4.2 Release Notes
Release Notes » v3.4.2 Release Notes
Improvements BP and RTP will now save intermediate session files during batch, such that sessions can be reviewed and/or merged followed a batch cancellation In Simple Mode in the IP, “Measurements” is now written beside the Measurements Panel…
v3.2.1 Release Notes
Release Notes » v3.2.1 Release Notes
Bug Fixes Fixed bug where recipes would not run properly when making Minimum Diameter feature measurements on layers without features Fixed bug with launching Save All Images when reference images had .jpeg or .tiff extensions Fixed bug where Report Generator…
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…
Distance Map
Image Processor » Functions » Morphology » Distance Map
Morphology > Distance Map Generates a grayscale distance map of the current segmentation where each pixel is colored by its euclidean distance to the nearest empty pixel. White = zero distance, black = 255 distance. The original distance map with floating-point…
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.…
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…
v3.2.3 Release Notes
Release Notes » v3.2.3 Release Notes
New Functions Crop Image > Apply Last crops the image using the area defined in the last Crop Image step in the recipe. Bug Fixes Fixed bug with global measurement report printing Fixed bug with applying pre-loaded model from Deep Learning Trainer Fixed…
*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…
Overview
Getting Started » Tutorials » Overview
Tour Take a tour of MIPAR’s powerful features and intuitive workflow. You’ll see examples of feature detection, batch processing, and measurements. Demo Watch a full demo of MIPAR’s operation including the Image Processor, Batch Processor,…
Clean Boundaries
Image Processor » Functions » Morphology » Clean Boundaries
Morphology > Clean Boundaries Grows features to fill the image until they are separated by boundaries of a specified thickness. This will also 1. Thickness The resulting distance between features. Notes Will not increase the border between features that…
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”…
Spotlight Tool
Spotlight ✧˙₊ » Spotlight Tool
The Spotlight recipe step works like any other MIPAR recipe step. It’s applied on recipe load and interacts with the rest of the recipe like a detection step. Users have full access to the rest of the MIPAR toolkit which enables detection filtering, clean up and…
Smart Cluster
Image Processor » Functions » Pre-Processing » Smart Cluster
Segmentation > Smart Cluster Assigns each pixel to one of the specified classes using k-means clustering [1-4]. This can be a powerful and objective way of segmenting images. Works especially well for images with 3 or more feature types of interest, where different…
Histogram of Measurements
Image Processor » Functions » Tools » Histogram of Measurements
Tools > Histogram of Measurements Plots a histogram from a .CSV or .TXT file of previously-made measurements. These files can be output from tools such as Measure Features, Color By Measurements, and Local Measurements. 1. Load To begin, load previously…
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…
Median Filter
Image Processor » Functions » Pre-Processing » Median Filter
Pre-Processing > Median Filter Helps reduce sparse noise. Sets each pixel in the Current Image equal to the median pixel value of its specified neighborhood. 1. Window Size Size of neighborhood (in pixels) which is considered about each pixel for the…
Dark Texture
Image Processor » Functions » Pre-Processing » Dark Texture
Pre-Processing > Dark Texture Highlights dark components of image textures that are no bigger than the specified window size. Also known as a bottom-hat filter, it computes the grayscale closing (grayscale erosion followed by grayscale dilation) of the Current Image…
Relative Size Filter
Image Processor » Functions » Clean-Up » Relative Size Filter
Clean-Up > Relative Size Filter Removes features if their areas are in the upper or lower specified percentage of all feature areas. 1. Metric Number: Select largest/smallest number of features Percentage: Select largest/smallest percentage of…
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…
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…
Wiener Filter
Image Processor » Functions » Pre-Processing » Wiener Filter
Pre-Processing > Wiener Filter Reduces sparse noise while preserving edges. Sets each pixel in the Current Image equal to the median pixel value of its adjusted specified neighborhood size [1]. Pixels with near edges will use smaller neighborhood sizes. 1.…
Estimate Count
Image Processor » Functions » Measurements » Estimate Count
Measurements > Estimate Count Estimates number of features as the total area of selected pixels in a layer divided by the average area of features in a chosen Memory Image. Essentially, it determines how many average features from the Relative To selection would fit…
Color Cluster
Image Processor » Functions » Color » Color Cluster
Color > Color Cluster Assigns each pixel from the color Opened Image to one of the specified classes using k-means clustering [1-4]. This can be a powerful and objective way of segmenting color images. Works well for color images with 2 or more feature types of…
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…
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,…
v3.4.4 Release Notes
Release Notes » v3.4.4 Release Notes
Improvements Added preference to normalize images before scaling to 8-bit. Preference is on by default and will continue normalizing 16-bit and 32-bit images based on their min and max when scaling to 8-bit. With preference off, 16-bit and 32-bit images will not…
Find Lines
Image Processor » Functions » Segmentation » Find Lines
Segmentation > Find Lines Finds lines in the Current Image using an algorithm based on searching within the image’s Hough transform. 1. Minimum Length Rejects lines under a certain length. 2. Infinite Lines Allows the detection of lines that proceed to…
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…
FFT Filter
Image Processor » Functions » Pre-Processing » Frequency » FFT Filter
Pre-Processing > Frequency > FFT Filter Modifies the Fourier transform of the Current Image with either custom or preset filters. Has many applications, ranging from background removal to edge-finding to artifact reduction. 1. Custom a. Selection…
Preferences
Getting Started » Preferences
Layout 1. MIPAR Open Directory Default folder for opening and image or recipe on MIPAR launch. 2. Calibration and Measurements Units Calibration units are used to display the scale bar and are used as default during recipe calibration. Measurement units are used…
v3.3.3 Release Notes
Release Notes » v3.3.3 Release Notes
Bug Fixes Fixed bug where feature measurements in PP could in some cases be formatted with incorrect units Fixed bug where scale factor would not display correctly in PP when reading a Bio-Formats image with embedded scale factor Fixed bug where mouse movement…
Bright Texture
Image Processor » Functions » Pre-Processing » Bright Texture
Pre-Processing > Bright Texture Highlights bright components of image textures that are no bigger than the specified window size. Also known as a top-hat filter, it computes the grayscale opening (grayscale dilation followed by grayscale erosion) of the Current…
Find Text
Image Processor » Functions » Segmentation » Advanced » Find Text
Segmentation > Advanced > Find Text Finds text in the Current Image using optical character recognition (OCR) [1] and places boxes around each detected word. *See the “Text” item under “Based on Companion” in Feature Measurements for…
Surface Measurements
3D Toolbox » Measurements » Surface Measurements
3D Measurements > Surface Measurements Surface Measurements allow you to make measurements from the currently rendered surface(s). *Surface measurements can take some time depending on the resolution and feature density of your rendered surface(s). It is recommended…
Error Code Troubleshooting
REST API » Error Code Troubleshooting
Error Cause Possible Solution STATUS 500 Docker container is not running Docker container is not reachable Check if the Docker container is running Check if the Docker is reachable by making a call on the host machine using a…
v3.2.2 Release Notes
Release Notes » v3.2.2 Release Notes
New Functions Replace With > Nearest Distance replaces each feature with a line between it and its nearest neighbor. Bug Fixes Fixed bug where inserting an Apply Model step below another doesn’t update the dependencies of later Call Output steps Fixed…
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…
Recipe Templates
Image Processor » Recipe Templates
MIPAR v4.2.0 brought pre-built recipes right into the Image Processor. Over 80 recipes are available to browse and try on either the included example images, or your own. They are called templates as they are intended to be strong starting points for many solutions.…
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,…
v3.4.1 Release Notes
Release Notes » v3.4.1 Release Notes
Improvements Added a preference to increase the amount of memory available for opening specialty file formats with Bio-Formats Removed “Enter Dimensions” entry from Crop menu in 3D Toolbox since functionality is present in Crop > Draw Bug…
Non-Local Means
Image Processor » Functions » Pre-Processing » Non-Local Means
Pre-Processing > Non-Local Means Reduces image noise using an advanced filtering algorithm [1]. Each pixel’‘s local window is compared to windows around it. The windows’ center pixels are averaged together with weights depending on the variations…
*Active Contour
Image Processor » Functions » Segmentation » *Active Contour
Segmentation > *Active Contour Requires B/W Companion Image Uses active contouring [1,2] to set the boundaries of each feature in the Companion Image based on the Current Image. Active contouring grows or shrinks features to “snap” them to locally…
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…
v3.0.4 Release Notes
Release Notes » v3.0.4 Release Notes
Bug Fixes Fixed bug where MIPAR loads a color image as grayscale due to small thumbnail in second TIF page Fixed bug where error tone is given when entering a factor in Resize Image Fixed bug where table from “Ruler Tool” is not shown properly in…
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…