libCZI
Open Source Cross-Platform C++ library to read CZI image files
libCZI is a library intended for providing read-only access to the information contained in CZI-documents.
It features:
- reading subblocks and get the content as a bitmap
- reading subblocks which are compressed with JPEG-XR
- works with tiled images and pyramid images
- composing multi-channel images with tinting and applying a gradation curve
- access metadata
In a nutshell, it offers (almost...) the same functionality as the 2D-viewer in ZEN - in terms of composing the image (including display-settings) and managing the data found in a CZI-file. The libCZI libary is part of the Open Application Development Concept of Zeiss Microscopy. More information on OAD can be found here: https://github.com/zeiss-microscopy/OAD
The code is written in C++11 and (so far) has been successfully compiled with:
- Visual Studio 2015 (Microsoft C++ v. 19.00.23506)
- GCC 5.2.1 (on Ubuntu Linux 4.2.0)
- Clang 3.4.1 (on FreeBSD 10.2)
It is intended to be easily portable to other platforms.
Licensing
libCZI is a reader for the CZI fileformat written in C++ Copyright (C) 2017 Zeiss Microscopy GmbH
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
To obtain a commercial version please contact Zeiss Microscopy GmbH.
Python Wrapper for libCZI
There are at least two python wrappers available for libCZI. They provide easy access to CZI image data from python. Those wrappers were created by the community and therefore is by no means responsible for their functionality and their maintenance. Feel free to use them at your own risk.
AICSImageIO
This library from the Allen Institute for Cell Science uses libCZI among other tools to read CZI, OME-TIFF and TIFF images and can be found here: AICSimageIO
pylibCZI
This is a python module for reading Zeiss CZI files by utilizing libCZI and can be found here: pylibCZI