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Release Notes

September 30, 2025​

v1.2.16-beta

CytoCanvas™ v1.2.16‑beta introduces the following requested features, improvements, and bug fixes that make the application more powerful and easier to use. All new image-based features require processing visualizations with Cells2Stats v1.3.0 or later.

New Features​

  • Cell Groups: Create, edit, or delete cell groups, which can be used to compare cell knock‑outs, perturbations groups, and control groups. Filter cells based on data that is found in the file that is associated with the run.
    • Cell groups can be exported from one run and imported into another run to share group definitions across collaborators and runs.
    • Any available data column in RawCellStats.parquet can be added to the Cell Table.
    • Cells can be sorted and filtered based on basic (ascending or descending) or advanced filters, such as grouping values by histogram, box plot, or scatter plot to cluster cells before placement into a group.
    • Up to 100 single unique cells (by unique cell ID) can be addeded to a group.
  • Montage View: Visualize cell groups and collect individual cell snapshots into a tiled view. As a result, you can quickly compare individual cells across a single cell group or between cell groups.
    • Cell groups can be reordered within the montage viewer.
    • Image sizes and the number of cells per column can be adjusted for a customized montage view.
    • Overlay all cell morphology features and protein or transcript spatial locations.
    • Visually focus on individual cells by removing the background to focus on intracellular proteins and reagents.
    • Montage view images can be exported.
  • Flow Cell View: The Standard view is now named the Flow Cell view. You can visualize the whole flow cell per well.
    • Add Well and Tile labels that are visible while you pan the flow cell.
    • Category data can be visualized from RawCellStats.parquet in the run directory. Categories are defined as any string grouping (for example, Gene, MostAbundantTarget, etc.).

Improvements​

  • You can delete runs from the Recent Runs view.
  • Improved the viewing experience with smoother loading and the ability to view long protein names.
  • You can now store AWS credentials locally for easy reuse across multiple runs loaded from the cloud.

May 21, 2025​

v1.1.0-beta

Improvements​

  • Added well labels with locations and manifest-provided well labels.
  • Improved screen navigation with a zoom bar, the ability to lock zoom level, and the ability to set, copy and paste coordinates.
  • Enabled update prompts when new software versions become available.
  • Added a tiles remaining bar to show tile loading progress.
  • Improved the Open from Cloud page:
    • Secret access keys can be toggled on and off to view.
    • Regions are selectable from a drop-down menu.
  • Added soft support for CytoCanvas on Debian Linux distributions.

Resolved Issues​

  • Resolved a known issue in the previous version that caused Windows installers to hang upon EULA acceptance.
  • Resolved a known issue in the previous version that caused local data loading to not work for Windows.
  • Resolved a known issue in the previous version that caused users to not be able to select Explore Demo Data after selecting Open from Cloud.
  • Resolved a known issue that caused the zoom to stutter.

Known Issues​

When exploring a local dataset on Windows OS, a Javascript error notification can appear. This does not cause an issue and can be safely dismissed to continue exploring data.

February 4, 2025​

v1.0.0-beta1

Improvements​

  • CytoCanvas 1.0.0-beta1 no longer requires a cross-origin resource sharing policy applied to AWS buckets in order to access those buckets.

December 4, 2024​

v1.0.0-beta

This is the initial release of CytoCanvas. CytoCanvas™ is a desktop application for Mac and Windows complementing AVITI24 Teton™ CytoProfiling as a cell visualization tool. It allows users to explore Teton CytoProfiling demo data, load run data locally or from AWS S3, and view cell paint images, cell segmentation masks, and protein and transcript locations.

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