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OpenPhi: an interface to access Philips iSyntax whole slide images for computational pathology.

Nita Mulliqi1, Kimmo Kartasalo1,2, Henrik Olsson1

  • 1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77 Stockholm, Sweden.

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OpenPhi provides seamless access to digital pathology whole slide images, overcoming vendor-specific format challenges. This open-source interface enhances interoperability for computational pathology algorithm development.

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Area of Science:

  • Computational pathology
  • Bioinformatics
  • Medical imaging

Background:

  • Digital pathology offers advanced diagnostics and prognostics through computational methods like deep learning.
  • Interoperability issues between whole slide image formats from different vendors hinder algorithm development.

Purpose of the Study:

  • To introduce OpenPhi (Open Pathology Interface), an Application Programming Interface (API).
  • To enable seamless access to the iSyntax format from Philips Ultra Fast Scanner, the first FDA-approved digital pathology scanner.
  • To enhance interoperability for computational pathology algorithm development.

Main Methods:

  • OpenPhi is an open-source Python-based API.
  • It is designed for easy integration with vendor-neutral applications.
  • Requires the Philips Software Development Kit.

Main Results:

  • Provides seamless access to Philips Ultra Fast Scanner's iSyntax format.
  • Facilitates the development of computational pathology algorithms by addressing interoperability challenges.
  • OpenPhi is extensible and available under the MIT license.

Conclusions:

  • OpenPhi significantly improves interoperability in digital pathology.
  • It supports the advancement of computational methods in pathology diagnostics and prognostics.
  • The open-source nature promotes wider adoption and development in the field.