Article or data-article in scientific journal (B1)

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

List of Authors: Mulliqi Nita, Kartasalo Kimmo, Olsson Henrik, Ji Xiaoyi, Egevad Lars, Eklund Martin, Ruusuvuori Pekka


Publication year: 2021

Journal: Bioinformatics

Journal acronym: BIOINFORMATICS

Volume number: 37

Issue number: 21

Number of pages: 3

ISSN: 1367-4803

eISSN: 1367-4811



Self-archived copy’s web address:

Digital pathology enables applying computational methods, such as deep learning, in pathology for improved diagnostics and prognostics, but lack of interoperability between whole slide image formats of different scanner vendors is a challenge for algorithm developers. We present OpenPhi-Open PatHology Interface, an Application Programming Interface for seamless access to the iSyntax format used by the Philips Ultra Fast Scanner, the first digital pathology scanner approved by the United States Food and Drug Administration. OpenPhi is extensible and easily interfaced with existing vendor-neutral applications.

Downloadable publication

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.

Last updated on 2022-07-04 at 16:21