Summary of important changes in arivis Vision4D 3.5 which was released 2nd Aug 2021.

Top new features:

  • New Object Styles to define object's color, transparency, material, and representation by tag
  • Analysis Home screen with better access to sample pipelines
  • Machine Learning Object Classification and performance improvements in all ML tools (incl. GPU/CUDA support)
  • reworked Compartments operation supporting parent-child relationship with subjects within a certain distance and fast feature definition per level of hierarchy
  • analysis pipeline operations implemented as Python script
  • arivis VisionHub integration

General:

  • "What's new" intro screen
  • arivis VisionHub integration (up and download of pipelines, images and objects from/to VisionHub)
  • significantly faster SIS save (structural modifications)
  • Fix: incorrect scalebar length at certain pixel size ratios
  • Windows 7 is no longer supported

Import & Data Handling:

  • better support for import of HCA well plate datasets:
    • Zeiss CZI well plate datasets
    • GE XDCE datasets
    • Yokogawa MLF and MMD datasets
  • support for import of ND2 float data
  • improved Nikon ND2 import using the latest ND2Read SDK
  • better support for importing Leica LEI time series
  • Olympus import using the latest IDAL library
  • improved edit support for tiles in manual mode of the Tile Sorter
  • much faster handling of a very large number of files to import
  • Fix: rare issue where old metadata prevented SIS from opening
  • Fix: Tile Sorter showing projection will update thumbnail after changing z-shift of a til

4D Viewer:

  • New glass material style for object visualization
  • improved and simplified lightings settings
  • unified clipping planes front/back orientation
  • 360° video export in 4K resolution
  • Fix: end marker for 3D polyline objects
  • Fix: prevent wrong positioned objects created with the Drop Objects tool in MIP view mode

Analysis:

  • Improved Import Document Objects operation
  • Analysis Home Screen provides a well-organized starting point for your analyses
  • reworked input/output handling with support for multiple outputs from one operation
  • Tracking provides secondary output for tracked segments and optional output for non tracked
  • Seeded Region Growing provides optional output for the seeds
  • reworked and redesigned Compartments operation
  • Compartments operation supports creating parent-child relationships with subjects within a certain distance
  • Compartments operation may classify objects as inside, intersecting, or proximal to the reference
  • Compartments operation provide optional outputs for different relation subgroups
  • The Compartments operation now supports the easy creation of Custom Features (e.g. count of children or mean intensity) for contained children
  • Combine Outputs operation supports more than two inputs
  • Machine Learning Object Classification analysis operation with different classes as separate outputs
  • Visualize the disk location for temporary analysis files in the status bar
  • Warning if the free disk space might be exceeded on running an analysis pipeline
  • changed: No auto-select of a different input channel if the configured one is missing (warning for existing pipelines not fitting the data)
  • A new analysis pipeline operations to use a Python script to
    • run a voxel operation or to
    • create or to
    • Modify segments

Performance:

  • improved: speed up segment creation for 2D data by avoiding surface precalculations
  • much increased performance when creating or modifying complex segment structures

Batch analysis:

  • allow to switch to batch analysis with the pipeline just configured
  • remember last batch analysis output folder
  • improved batch analysis configuration guidance
  • changed: use all image sets by default in batch analysis when adding new files
  • Fix: avoid potential problems working with a large number of objects (>10 million)
  • Fix: prevent unintentional jumping of the view during execution of the analysis pipeline step by step
  • Fix: preview for the Region Growing operation
  • Fix: potential problem with inconsistent error messages
  • Fix: avoid potential hang of the Membrane Detection operation
  • Fix: bug in Image Math which could cause strange pattern
  • Fix: potential crash with the ML segmenter
  • Fix: prevent missing entries in the Export Object Features operation (edge cases)
  • Fix: problem with saving the pipeline if some special Custom Compute Features are involved

Machine Learning:

  • New Machine Learning Object Classification Trainer
  • Run Machine Learning Object Classification to classify visible objects (no Analysis Pipeline needed)
  • ML Trainer (Image) allows to paint into a class other than the one displayed
  • ML Trainer (Image) - warning about 3D-features preview inaccuracy
  • ML Segmentation provides classes as separate outputs in the analysis pipeline
  • Machine Learning image operations benefit from CUDA hardware acceleration (if available)
  • Much improved Machine Learning (Image) performance

Objects:

  • New Object Styles allow to define the visual style of objects more easily including color, opacity, material and representation (surface, centroid or approximation)
  • Setting of objects styles by tag with the new Object Styles Dialog
  • Support for individual transparencies, colors and display type for single objects
  • Option to ignore scope offsets while copying objects
  • Tags are shown per image set
  • Fix: rare problem with the magic wand mode of the Manual Track tool
  • Fix: show color by time or by segment mode indication in the object table
  • Fix: prevent unexpected disappearance of feature columns

Scripting:

  • Integrated debugger for the Python script editor
  • SegmentBuilder script support
  • Dedicated scripting log
  • Preference to define script log verbosity
  • Scripting of object styles
  • Clean up of script API
  • More detailed script API documentation
  • Improved Script editor help pane UI
  • Fix: potential problem in handling pixel size