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Release notes

arivis Pro 4.3

New & Noteworthy

  • AI-assisted Spine Tracing: automated spine detection using pre-trained Al models or other methods.
  • Enhanced Cell Measurements: expanded measurement capabilities enabling richer feature sets.
  • Native CZI Support: open, visualize and analyze CZI data, with no intermediate conversion steps needed.
  • Remote Docker: run instance segmentation with the help of a satellite / remote Linux system.

Deep Learning / Machine Learning

  • new: DL Trainer preview - verify the trained model right in the DL trainer panel
  • new: tile blending option for DL reconstruction operation
  • new: option to specify the normalization range to be applied on the data before inference
  • new: confidence feature value for instance segmentation results
  • new: option to run instance segmentation with the help of a remote Docker engine
  • new: arivis Cloud preference page
  • new: option to adjust normalization range for Cellpose operation
  • improved: improved consistency for CUDA based calculations (e.g. Cellpose)
  • improved: better help and guidance for running instance segmentation based on ZEISS arivis Cloud models
  • improved: AI model store sorts list by creation time now
  • improved: AI models store displays the model's author
  • improved: do not show and store arivis Cloud access token in clear text anymore
  • improved: order of classes in the DL trainer is reversed (the same as in arivis Cloud now)
  • fix: prevent "Could not reach the instance segmentation service" for some specific Docker setups
  • fix: ML Segmenter - under some conditions, segments were not found on the last plane
  • removed: sync with channel visibility in ML Trainer

Tracing

  • new: Spine Tracer operation to detect spines and extend existing traces
  • new: AI assisted spine detection in the Spine Tracer operation
  • new: spine counting and spine density object features
  • new: SWC export respects selection
  • fix: Neuron Tracer - make sure all neurites are connected to a cell body (if configured)

Analysis & Objects

  • new: SD (standard deviation) added for a lot of features
  • new: morphological segment features (convex hull, cross section area, equivalent ellipse projection, maximum inscribed sphere, inscribed disk)
  • new: additional 2D segment features (symmetry 2D, Feret projection, convex hull projection)
  • improved: Seeded Region Growing supports more and larger seeds
  • improved: object styles parent filter allows to select trace type
  • improved: updated ITK version (fixes cancellation issues)
  • improved: progress in the Store Objects operation during surface pre-calculation
  • improved: error handling in the Import Surfaces dialog
  • improved: group statistics for traces
  • improved: more detailed descriptions for object feature calculations in the help

4D-Viewer

  • new: arivis Pro tries to active high performance graphics automatically
  • improved: optimized progressive strategy for object visualization
  • improved: surface calculation creates smoother objects with less terracing artefacts
  • improved: selection of objects behind an active clipping plane
  • improved: unified memory limit warnings for traces and segments
  • improved: performance for the track tool in 4D
  • fix: avoid block artefacts for storyboard movies with time series data

Data Handling & Import

  • new: open CZI data natively without the need for import
  • new: Thermo Fisher CellInsight CX7 media handler
  • improved: background correction performance for large data
  • improved: Meta Image Series / ImageXpress import
  • improved: support for JPEG2000 compressed TIFF data
  • fix: image set names for well plate datasets (e.g. from ImageXpress or Yokogawa)
  • fix: potential import problems for 32bit float TIFF data
  • fix: problems importing multimodal Yokogawa data
  • fix: some VSI were imported with a wrong channel order
  • fix: potential problems with export objects as labelled images
  • fix: import *.am data from Avizio
  • fix: import of stitched LaVision datasets

General

  • new: unified Pan tool (previously Drag tool in 2D)
  • new: allow panning in 2D and 4D Viewer (independent of the active tool) by middle mouse drag
  • fix: prevent selection of non editable objects in the Draw Tool (e.g. track or trace)
  • removed: deprecated Python script API functions ImageSet.get_pixel and ImageSet.set_pixel
  • switched to .Net 8 * numerous additional bug fixes and stability improvements

arivis Pro 4.2

ZEISS arivis Pro 4.2 (formerly Vision4D) offers users the freedom to select the most suitable image analysis method for their needs. The new release includes enhanced AI-driven tools, 3D analysis capabilities, and large dataset handling. The software allows for unprecedented flexibility to tailor microscopy image analysis workflows to answer research questions.

New & Noteworthy

  • Optimized meshing and rendering for unlimited numbers of objects in the 4D Viewer 
  • Instance (object-based) segmentation driven by Deep Learning models from arivis Cloud AI Model Store
  • Cells and nuclei segmentation in microscopy images using the Cellpose operation 
  • High precision preview in the Analysis Pipeline can work on 3D data to produce a more meaningful preview

Other Optimizations

  • Analysis can directly show a preview in the 4D Viewer for object creation operations (e.g. Neuron Tracer)
  • Machine Learning can auto-optimize the used feature set to improve performance
  • Improved handling for huge amounts of objects in the objects table
  • Rebranding is completed: The software is now called ZEISS arivis Pro

arivis Vision4D 4.1.2

Cellpose Segmenter

  • improved: better memory checks to avoid internal errors
  • improved: more clear error and warnings
  • improved: better description of the available pre-trained models in the help
  • change: perform planewise is enabled by default now
  • fix: handling of results for time points other than the first one (in combination with voxel filters)
  • fix: normalization for data with bias in min intensity value
  • fix: other small fixes for the Cellpose Segmenter

Import

  • improved: importing channel names for XDCE data
  • fix: import problems for some ND2 time series

General

  • improved: faster free consumed license after quit of the application

arivis Vision4D 4.1.1

Summary of changes in arivis Vision4D 4.1.1, released 25 July 2023

New & Noteworthy

Cellpose Segmenter - directly import pre-trained Cellpose models for easy and fast segmentation in the Analysis Pipeline.

Analysis

  • new: native Cellpose Segmenter analysis operation (no Python needed)
  • new: export a created model from Deep Learning Trainer as CZANN
  • improved: Deep Learning - better compatibility with N2V models from ZEISS ZEN
  • improved: Allow Holes option is on by default for the DL Segmenter
  • improved: better conflict validation when renaming DL trainings
  • fix: rare cases where positions of tracks after scaled analysis are incorrect
  • fix: potential wrong segment reference for cell body in a trace

4D Viewer

  • improved: auto zoom when double clicking an object is more usable in 4D Viewer
  • fix: sometimes traces (in cone display style) were not selectable in 4D Viewer

General

  • new: provide a description and an offline download for optional components in the installer
  • fix: improved compatibility for DeltaVision DV import
  • fix: What's New opens after an update more reliable
  • fix: installer makes sure that no files from former Vision4D versions are left in the installation folder 
  • additional small fixes and improvements in the arivis_dl library

arivis Vision4D 4.1

Summary of changes in arivis Vision4D 4.1, released 27 March 2023

New & Noteworthy

  • New optional module: arivis AI toolkit features a complete Deep Learning workflow right in Vision4D - annotate, train & inference 
  • Various improvements in the tracing workflow #
  • Wellplate Editor to manually assign imagesets to wells or fields of a well 

arivis AI Toolkit

  • new: Optional module arivis AI toolkit: 
  • new: Deep Learning Trainer panel to setup and train a DL model 
  • new: use the Draw Tool to draw segments to annotate regions for classes 
  • new: utilizing of sparse annotations to overcome the need to draw on every pixel 
  • new: drawn objects are sorted by class order - pixels are assigned to the topmost one (no need to cut out overlaps) 
  • new: add and reuse existing segments for class definition 
  • new: automatic clustering based on annotated backgound possible 
  • new: run and monitor the DL training process right from Vision4D 
  • new: directly open the trained DL model in the Analysis Pipeline for inference 
  • new: export the trained DL model as ONNX 
  • new: additional installer package to setup a whole DL Python environment 

Tools

  • new: Draw Tool has a context menu and better keyboard shortcut support 
  • new: Draw Tool is aware of the DL Training panel 
  • new: Draw Tool allows to change class to draw by shortcut or context menu (in DL Trainer mode) 
  • improved: Trace Tool - connect to a cell body segment 
  • improved: Trace Tool - optimized remove branch 
  • improved: 'unable to connect' messages in the Trace Tool are more understandable 

Analysis

  • new: 'Neuron Tracer' (from the Segmentation category) has been renamed to 'Neurite Tracer' 
  • new: 'Neuron Tracer (from Cell Body)' has been renamed to 'Neuron Tracer' 
  • new: Neuron Tracer preview shows all parts in the same color 
  • new: Neuron Tracer preview shows the filtered parts slighly dimmed (instead of hiding them completely) 
  • improved: parameter labels in the Neuron Tracer are more precise 
  • improved: default threshold value and threshold warnings in the Neuron Tracer 
  • improved: tooltips in the Neuron Tracer 
  • fix: if the tracking operation had a lot of results, it could happen that the last tracks were not displayed 
  • fix: prevent the creation of (almost) empty traces in the Neuron Tracer 
  • fix: ensure that a preview progress label is always displayed immediately 

Visualization

  • new: display of starting points can be turned off for traces 
  • improved: optimized cone generation for traces in 4D Viewer 
  • improved: fallback to line based visualization if cones for traces would exceed memory 
  • improved: remember last used Z-Projection value for trace visualization in 2D 
  • fix: minor problem with RGB Projection in 4D Viewer 

Data Handling

  • new: Wellplate Editor to manually assign imagesets to wells or fields of a well 
  • new: semi-automatic assign imagesets to well or field positions based on the name of the imageset (in the Wellplate Editor) 
  • new: additional import scenario to import wells as imagesets and open the Wellplate Editor afterwards (for manual assignemnt) 
  • fix: some LaVision data could not be imported correctly for TileSorter 
  • fix: problems with some CZI if imported for TileSorter

General

  • new: Predictive Analytics service as optional install 
  • new: gRPC service connector
  • new: ZenBridge is able to work with gRPC service connector (optionally) 
  • improved: included Sentinel driver and HASP Lib have been upgraded to version 8.5 
  • fix: sort order in field selector of Navigator (for wellplate data) 
  • fix: rare crash in the Transform Surface dialog 
  • additional minor fixes and improvements 
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