arivis Vision4D 3.4 Release Notes January 2021

Welcome to the arivis Vision4D 3.4 Release Notes - Version Date: 18 January, 2021

Release 3.4

Top Features

  • New License Manager with a better overview of all licenses
  • Machine Learning improvements (for multiple images sets)
  • Easier to use and start of analysis with the new  operation list, search options
  • New Image and Object Math operations 
  • Python 3 Scripting support

4D Viewer

  • Storyboard can export 4k movies (h264)
  • improved sampling options in the preferences
  • better surface quality for very small or thin structures

Analysis & Objects

  • Redesigned operation list with short descriptions, categories, and search functionality 
  • New Image Math operation - do calculations between channels, planes, and timepoints 
  • New Object Math operation allows to subtract, merge or intersect object
  • Improved and better-structured selection of input channels
  • Newly created channels can be used in the same pipeline immediately 
  • Object Feature "Relative Volume" - volume percentage of the total volume
  • Split objects by shape (w/o Analysis Pipeline)
  • Much faster loading and sorting of objects in the objects table 
  • Speed of interpolation in the Draw Objects tool
  • Basic support for high precision marker objects (created with arivis VisionVR)

Machine Learning Improvements

  • Ability to define and use machine learning classes across several image sets
  • Training for different pixel scaling
    • for more speed
    • more coarse textures detectable
  • Redesigned feature dialog 
  • Better compatibility with the import of Ilastik trainings
  • General speed improvements:
    • Machine Learning operator now makes better use of available CPU cores (speed improvement for >10 CPU)
    • Better compatibility for imported Ilastik Machine Learning trainings

Scripting Improvements

  • Scripting in Vision4D (Script Editor) has been updated to Python 3
  • NumPy is now part of the embedded Python 3 environment
  • New Python integration with better support for debugging and external Python installations
  • Script support for export and import of labeled images
  • Run Deep Learning networks in arivis Vision4D:
    • Python package and startup documentation supplied to run a prepared Tensor Flow library with V4D 3.4 via Python. This allows also non-experts in Python and Deep Learning to use established Deep Learning networks in facilities.


  • The new License Manager allows to select a specific Vision4D license on startup
  • Import of Imspector OBF/MSR data
  • Support for the newest Lavision OME format
  • Check whether an imported file should be discarded or kept when closing
  • Color settings: 
    • Apply color settings to all image sets
    • Perform Auto Color Range over all image sets
    • Ability to reset color settings