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Releases: Juaco2r/iSyntaxToTIFF

iSyntaxToTIFF V1.0

22 Jun 14:03
@Juaco2r Juaco2r
v1.0
1817b7c

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Initial public release of iSyntaxToTIFF, a standalone tool for converting Philips .isyntax whole-slide images into pyramidal RGB OME-TIFF files using OpenPhi and the Philips Pathology SDK.

Main features

  • Convert Philips .isyntax whole-slide images to pyramidal .ome.tif.
  • Configure the Philips Pathology SDK from the graphical interface.
  • Prepare the SDK from a ZIP file or from an already extracted SDK folder.
  • Preview .isyntax files using thumbnail rendering.
  • Read image dimensions, pyramid levels, thumbnails, and regions through OpenPhi.
  • Export rendered RGB OME-TIFF files for downstream visualization and analysis.
  • Use Deflate lossless compression by default.
  • Optional JPEG compression with quality control.
  • Save outputs beside the original .isyntax file or in a user-selected output folder.
  • Windows and Linux build workflows are included.

Requirements

The Philips Pathology SDK must be obtained separately from Philips and configured in the app.

As of June 2026, the SDK can be obtained from the Philips portal by searching for PathologySDK and downloading PathologySDK_2.0-L1_Packages.

For Windows, use the Windows Python 3.7 research package.

For Linux, use the Ubuntu 20.04 Python 3.8 research package.

Recommended first-time workflow

  1. Download and extract the iSyntaxToTIFF release package for your operating system.
  2. Run iSyntaxToTIFF.
  3. Go to File > Select / Prepare SDK ZIP or folder.
  4. Select the Philips Pathology SDK ZIP or extracted SDK folder.
  5. Run File > Test SDK.
  6. If required on Windows, run File > Run SDK installer.
  7. Add .isyntax files and convert them to .ome.tif.

Notes on image output

The exported OME-TIFF is lossless with respect to the rendered RGB image returned by OpenPhi when Deflate compression is selected.

This workflow is intended mainly for visual brightfield use cases such as H&E/IHC viewing, tiling, annotation, and downstream analysis in tools such as QuPath or Fiji.

Raw multichannel fluorescence information or quantitative intensity preservation should not be assumed unless independently validated.

Included files

  • Source code for the graphical converter.
  • Windows and Linux build scripts.
  • GitHub Actions workflow for automated builds.
  • User documentation.
  • Citation and Zenodo metadata files.
  • Third-party notice describing the Philips SDK dependency.

Citation

If you use iSyntaxToTIFF in research, please cite the Zenodo release associated with this version.

A DOI will be available after this GitHub release is archived by Zenodo.

Suggested release assets

  • iSyntaxToTIFF-Windows.zip
  • iSyntaxToTIFF-Linux.tar.gz
Assets 4
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