Windows build 20150527 fixes crashes in the 32-bit binaries.
OpenSlide 3.4.1 adds support for Philips TIFF and Ventana TIFF, improves the performance of JPEG and JP2K decoding, and adds support for OpenJPEG 2.1.0. It also includes fixes and improvements for Aperio, Hamamatsu, Leica, Sakura, and Ventana slides, as well as many portability fixes.
Windows build 20150420 also adds separate debug symbols for all binaries.
OpenSlide Python 1.1.0 adds an extension module which significantly improves pixel read performance. The example viewers now display a scale bar via the OpenSeadragonScalebar plugin.
OpenSlide Java 0.12.1 improves support for cross-building for Windows from newer Linux distributions.
Older news is available here.
OpenSlide is a C library that provides a simple interface to read whole-slide images (also known as virtual slides). The current version is 3.4.1, released 2015-04-20.
Python and Java bindings are also available. The Python binding includes a Deep Zoom generator and a simple web-based viewer. The Java binding includes a simple image viewer.
OpenSlide and its official language bindings are released under the terms of the GNU Lesser General Public License, version 2.1.
The library can read virtual slides in the following formats:
It provides a simple C interface for programmers to use to decode images of these kinds.
See how some projects use OpenSlide.
There is a web-based demo of OpenSlide rendering various slide formats.
Some documentation is included within the downloadable files. Additionally there is:
First, try the search box at the top of the page. It covers the OpenSlide website, mailing list, issue tracker, and wiki.
There are two mailing lists for OpenSlide:
Development of OpenSlide happens on GitHub:
Nightly builds are handled by Buildbot.
Some freely-distributable test data is available.
The design and implementation of the library are described in a published technical note:
OpenSlide: A Vendor-Neutral Software Foundation for Digital Pathology
Adam Goode, Benjamin Gilbert, Jan Harkes, Drazen Jukic, M. Satyanarayanan
Journal of Pathology Informatics 2013, 4:27
Abstract HTML PDF
There is also an older technical report:
Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution.
There is no universal data format for whole-slide images, so each vendor implements its own formats, libraries, and viewers. Vendors typically do not document their formats. Even when there is documentation, important details are omitted. Because a vendor’s library or viewer is the only way to view a particular whole-slide image, doctors and researchers can be unnecessarily tied to a particular vendor. Finally, few (if any) vendors provide libraries and viewers for non-Windows platforms. Some have gone with a server approach, pushing tiles through a web server, or using Java applets, but these approaches have shortcomings in high-latency or non-networked environments.