store NumPy arrays in TIFF (Tagged Image File Format) files, and
read image and metadata from TIFF-like files used in bioimaging.
Image and metadata can be read from TIFF, BigTIFF, OME-TIFF, DNG, STK, LSM, SGI, NIHImage, ImageJ, MMStack, NDTiff, FluoView, ScanImage, SEQ, GEL, SVS, SCN, SIS, BIF, ZIF (Zoomable Image File Format), QPTIFF (QPI, PKI), NDPI, AVS, Philips DP, and GeoTIFF formatted files.
Image data can be read as NumPy arrays or Zarr arrays/groups from strips, tiles, pages (IFDs), SubIFDs, higher order series, and pyramidal levels.
Image data can be written to TIFF, BigTIFF, OME-TIFF, and ImageJ hyperstack compatible files in multi-page, volumetric, pyramidal, memory-mappable, tiled, predicted, or compressed form.
Many compression and predictor schemes are supported via the imagecodecs library, including LZW, PackBits, Deflate, PIXTIFF, LZMA, LERC, Zstd, JPEG (8 and 12-bit, lossless), JPEG 2000, JPEG XR, JPEG XL, WebP, PNG, EER, Jetraw, 24-bit floating-point, and horizontal differencing.
Tifffile can also be used to inspect TIFF structures, read image data from multi-dimensional file sequences, write fsspec ReferenceFileSystem for TIFF files and image file sequences, patch TIFF tag values, and parse many proprietary metadata formats.
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Bumps tifffile from 2024.5.22 to 2024.6.18.
Release notes
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Changelog
Sourced from tifffile's changelog.
Commits
7339d25Release v2024.6.182f0d693Update CHANGES.rst213a565Update tests/test_tifffile.py03e8cabUpdate tifffile/tifffile.pyDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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