Release Notes IPSDK Explorer
The Reactiv’IP team is constantly striving to improve its services to enable IPSDK Explorer users to achieve their goals effectively. Our developers are working to provide you with the updates you need.
See the latest Release Notes below:
February 2026
New processing commands
- Automatic object detection based on Meta SAM/CellPose
- Automatic ring artifacts removal
- Extraction of the longest chain for each skeleton
- Fiber orientation measurements per block
- Enforce_Convexity in 2D and 3D
Viewer
- Simplified menus for opening images
- DICOM format support
- Avizo and Amira format support (.am)
- Volume Graphics format support (.vol and .vgi)
- 3D histogram to display orientations on a sphere
- Added polyline measurement object
- Ability to resize the command tree width
Plugins
- Availability of an additional plugins manager
- Granulo 2D / Granulo 3D
- Porosity 2D / Porosity 3D
- Fiber Plugin
- REV Estimator Plugin
- PNM & Tortuosity
Compatibility
- Supported Python versions: 3.9, 3.10, 3.11, 3.12
- AI tools: TensorFlow, scikit-learn, SAM, PyTorch, Cellpose, …
- Processing tools: ITK, OpenCV, numpy, …
- Visualization tools: Napari, Qt, Matplotlib, …
IPSDK Explorer 4.1 - 02/2025
New processing:
- Deepflow: Detection of movements between two images
- 2D and 3D fiber characterization module
(Video tutorial) - PNM: Porous network modeling
(Video tutorial) - Cross-section registration module
- Confusion matrix for Machine Learning
(Video tutorial) - Masked average filter
- Hidden Smart Shading Correction
- Function to transform label images into color images
New interface elements:
- User session management
- Interactive angle measurement tool
- Intensity calibration overlay
Viewer 3D:
- Orthoslices added
(Video tutorial)
- Label image display enhancement
- Interactive 3D crop
- Origins management
- Adding a rotation object to MovieMaker
IPSDK Explorer 4.0.1.0 - 11/2024
- .am (Avizo, Amira) compatibility
- .txm (Zeiss) compatibility
- preview mode for the 3D filter operations
- new measures to interpolate the label objects by a sphere
IPSDK Explorer 4.0 - 02/2024
New processing:
- Deepflow: Detection of movements between two images
- 2D and 3D fiber characterization module (Video tutorial)
- PNM: Porous network modeling (Video tutorial)
- Cross-section registration module
- Confusion matrix for Machine Learning (Video tutorial)
- Masked average filter
- Hidden Smart Shading Correction
- Function to transform label images into color images
New interface elements:
- User session management
- Interactive angle measurement tool
- Intensity calibration overlay
- Orthoslices added (Video tutorial)
- Label image display enhancement
- Interactive 3D crop
- Origins management
- Adding a rotation object to MovieMaker
IPSDK Explorer 3.2.2.6 - 12/2023
- Compatibility with recent versions of Python 3.8 and Python 3.9
- Faster display of analysis tables
- Compatibility with all antivirus software
- Optimized statistics calculation
IPSDK Explorer 3.2.2 - 04/2023
- Out-Of-Core: Handling very large images (Video tutorial)
- Wizard for creating Smart Segmentation models from pre-segmented images (Video tutorial)
- 3D Hough Transform for sphere detection
- Interactive sliders for Display Context adjustment
IPSDK Explorer 3.2 - 11/2022
- Smart segmentation by super pixel/voxel (Video tutorial)
- Adaptive contrast enhancement (Video tutorial)
- Ability to accelerate watershed algorithms in Explorer
- Search for extrema in a signal
- Battery inspection module (Video tutorial)
- Time sequence management
- Visualization of 4D images
- Merge calibration patterns in images
- Management of floating licenses (dongle)
- Histogram by labeled zones
- New 8-bit LABEL image type
IPSDK Explorer 3.1 - 12/2021
- Smart segmentation: Machine learning module for pixel/voxel classification (Video tutorial)
- Smart classification: Machine learning module for the classification of segmented objects (labels) (Video tutorial)
- Batch processing for using all processing on all images in a directory
- Support for multi-channel or multi-energy datasets
- Adaptive Watershed to separate objects of non-unique size and non-circular shape
- New features for calculating Simple Tortuosity and Average Tortuosity (Video tutorial)
- Ability to create Interface Macros to simply add functionality
- 3D shape visualization module