.. image:: https://badge.fury.io/py/tifffile.png :target: http://badge.fury.io/py/tifffile
.. image:: https://pypip.in/d/tifffile/badge.png :target: https://pypi.python.org/pypi/tifffile
Read and write image data from and to TIFF files.
Image and metadata can be read from TIFF, BigTIFF, OME-TIFF, STK, LSM, NIH, SGI, ImageJ, MicroManager, FluoView, SEQ and GEL files. Only a subset of the TIFF specification is supported, mainly uncompressed and losslessly compressed 2**(0 to 6) bit integer, 16, 32 and 64-bit float, grayscale and RGB(A) images, which are commonly used in bio-scientific imaging. Specifically, reading JPEG and CCITT compressed image data or EXIF, IPTC, GPS, and XMP metadata is not implemented. Only primary info records are read for STK, FluoView, MicroManager, and NIH image formats.
TIFF, the Tagged Image File Format, is under the control of Adobe Systems. BigTIFF allows for files greater than 4 GB. STK, LSM, FluoView, SGI, SEQ, GEL, and OME-TIFF, are custom extensions defined by Molecular Devices (Universal Imaging Corporation), Carl Zeiss MicroImaging, Olympus, Silicon Graphics International, Media Cybernetics, Molecular Dynamics, and the Open Microscopy Environment consortium respectively.
For command line usage run python tifffile.py --help
:Author:
Christoph Gohlke <http://www.lfd.uci.edu/~gohlke/>_
:Organization: Laboratory for Fluorescence Dynamics, University of California, Irvine
:Version: 2017.01.12
CPython 2.7 or 3.4 <http://www.python.org>_Numpy 1.11 <http://www.numpy.org>_Matplotlib 1.5 <http://www.matplotlib.org>_ (optional for plotting)conda install tifffile -c conda-forge.pip install tifffile.This is a mirror of the code at http://www.lfd.uci.edu/~gohlke/code/tifffile.py.html. For any development concerns, please email Christoph Gohlke at
cgohlke at uci.edu.
The API is not stable yet and might change between revisions.
Tested on little-endian platforms only.
Other Python packages and modules for reading bio-scientific TIFF files:
Imread <http://luispedro.org/software/imread>_PyLibTiff <http://code.google.com/p/pylibtiff>_SimpleITK <http://www.simpleitk.org>_PyLSM <https://launchpad.net/pylsm>_PyMca.TiffIO.py <http://pymca.sourceforge.net/>_ (same as fabio.TiffIO)BioImageXD.Readers <http://www.bioimagexd.net/>_Cellcognition.io <http://cellcognition.org/>_CellProfiler.bioformats <https://github.com/CellProfiler/python-bioformats>_(1) TIFF 6.0 Specification and Supplements. Adobe Systems Incorporated. http://partners.adobe.com/public/developer/tiff/ (2) TIFF File Format FAQ. http://www.awaresystems.be/imaging/tiff/faq.html (3) MetaMorph Stack (STK) Image File Format. http://support.meta.moleculardevices.com/docs/t10243.pdf (4) Image File Format Description LSM 5/7 Release 6.0 (ZEN 2010). Carl Zeiss MicroImaging GmbH. BioSciences. May 10, 2011 (5) File Format Description - LSM 5xx Release 2.0. http://ibb.gsf.de/homepage/karsten.rodenacker/IDL/Lsmfile.doc (6) The OME-TIFF format. http://www.openmicroscopy.org/site/support/file-formats/ome-tiff (7) UltraQuant(r) Version 6.0 for Windows Start-Up Guide. http://www.ultralum.com/images%20ultralum/pdf/UQStart%20Up%20Guide.pdf (8) Micro-Manager File Formats. http://www.micro-manager.org/wiki/Micro-Manager_File_Formats (9) Tags for TIFF and Related Specifications. Digital Preservation. http://www.digitalpreservation.gov/formats/content/tiff_tags.shtml
data = numpy.random.rand(5, 301, 219) imsave('temp.tif', data)
image = imread('temp.tif') numpy.testing.assert_array_equal(image, data)
with TiffFile('temp.tif') as tif: ... images = tif.asarray() ... for page in tif: ... for tag in page.tags.values(): ... t = tag.name, tag.value ... image = page.asarray()
On Windows, the error Error:unable to find vcvarsall.bat means that distutils is not correctly configured to use the C compiler. Modify (or create, if not existing) the configuration file distutils.cfg (located for example at C:\\Python27\\Lib\\distutils\\distutils.cfg) to contain::
[build] compiler=mingw32