scifio/scifio

Name: scifio

Owner: SCIFIO

Description: SCientific Image Format Input & Output: a flexible, extensible framework for image I/O. *EXPERIMENTAL* All API is subject to change, so depend at your own risk! See also @openmicroscopy/bioformats.

Created: 2013-05-20 14:54:47.0

Updated: 2018-01-18 23:19:35.0

Pushed: 2018-01-30 18:20:21.0

Homepage: http://scif.io/

Size: 189082

Language: Java

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README

SCIFIO

Join the chat at https://gitter.im/scifio/scifio

SCIFIO (SCientific Image Format Input & Output) is an extensible Java framework for reading and writing images, particularly N-dimensional scientific images.

This core package supports parsing pixels and metadata for a collection of open formats. Additional formats can be supported simply by downloading SCIFIO plugins and including them in your project.

Purpose

SCIFIO's primary purpose is to provide a clear convention for supporting image input and output. By lowering the barrier for adding new image formats, all SCIFIO-backed software will grow more versatile and powerful.

Supported formats

The SCIFIO core includes support for:

Additionally, Bio-Formats is available as a SCIFIO plugin for supporting more than a hundred additional proprietary formats.

For users

ImageJ2 and Fiji use SCIFIO for image I/O.

For developers

Several software libraries use SCIFIO for image I/O:

Developer documentation:

More information

For more information, see the SCIFIO FAQ and SCIFIO web site.

Mailing list
Contributing to SCIFIO

SCIFIO is an open project and anyone is very welcome to submit pull requests to the SCIFIO repository.

With SCIFIO's focus on extensibility, you typically will not need to make upstream changes to get your formats into users' hands. However, if you are interested in submitting a pull request, that's great! All we ask is that you check:

mvn clean test

from the top level.

If you're adding a new feature, it would be fantastic if you could write a unit test for it! Simply base it on JUnit to have it run by the SCIFIO test suite.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.