A collection of useful scripts for handling .tif stacks.
The scripts are designed to be installed with setup.py. Detailed instructions
can be found in the official documentation. To quickly install
from the source, run:
pip3 install --user git+https://github.com/kwohlfahrt/tiffutil.git
Add the --upgrade flag to update to the latest version. Plotting support must
be explicitly enabled, as this requires matplotlib:
pip3 install --user git+https://github.com/kwohlfahrt/tiffutil.git[plot]
Python 3, Numpy and tifffile. All are available from PyPI and can be installed as described in the pip documentation.
The entry point tiffutil is installed. This should be followed by the command
to be used, e.g. crop, unstack, smooth or project. For further details,
consult the help provided for each command (e.g. tiffutil project --help).
Some examples are shown below.
This command unstacks TIFF files where multiple channels are interleaved. For example:
tiffutil unstack stack.tif DAPI.tif CENPA.tif
splits the file stack.tif into DAPI.tif and CENPA.tif, with even-numbered
(starting at 0) frames in DAPI.tif and odd-numbered frames in CENPA.tif. Any
number of output images is permitted.
This command projects multiple TIFF images into a single frame, optionally with a running-median filter. Custom start and end frames are also possible. It only loads the frames currently being processed, so is useful in memory-constrained situations. For example:
tiffutil project --projection max --end 4000 in001.tif in002.tif out.tif
projects the first 4000 frames of a video (split over two files) into out.tif
using a maximum intensity projection.
The smooth function runs a rolling-ball smoothing pass over each
image in a stack of images. The smoothed image approximates the background. Pass
the --correct option to subtract the background instead of extracting it.
tiffutil smooth --radius 2.0 in001.tif in002.tif out.tif
Note: 3D (or nD) smoothing would be straightforward to add, please file a bug if this is a feature you would like.