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napari plugin for nd tiff folders with OpenCl deskew

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napari plugin for nd tiff folders with optional CUDA or OpenCL-based deskewing.

Built-in support for folders of (skewed) lattice light sheet tiffs.

napari-ndtiffs demo

This napari plugin was generated with Cookiecutter using with @napari's cookiecutter-napari-plugin template.


  • Drag and drop a folder of tiffs onto napari window to view easily
    • (currently designed to detect lattice light sheet tiffs, but easily adjustable)
  • If lattice Settings.txt file is found, will deskew automatically (only if necessary)
  • Lazily loads dataset on demand. quickly load preview your data.
  • Handles .zip archives as well! Just directly compress your tiff folder, then drop it into napari.
  • All OpenCL deskewing, works on GPU as well as CPU, falls back to scipy if PyOpenCL is unavailable.
  • CuPy-based deskewing will work for cards with NVIDIA GPUs that support CUDA. CuPy 8.x releases should work, although CuPy >= 9 is recommended. If CuPy is unavailable, the PyOpenCL implementation is used instead.

It would not be hard to support arbitrary filenaming patterns! If you have a folder of tiffs with a consistent naming scheme and would like to take advantage of this plugin, feel free to open an issue!


You can install napari-ndtiffs via pip:

pip install napari-ndtiffs

To also install PyOpenCL (for faster deskewing):

pip install napari-ndtiffs[opencl]

On NVIDIA GPUs with CUDA support, the CuPy implementation may be faster than PyOpenCL. CuPy also has experimental support for AMD GPUs via HIP/ROCm. See the CuPy installation instructions


In most cases, just drop your folder onto napari, or use"path")

Overriding parameters

You can control things like voxel size and deskewing angle as follows:

from napari_ndtiffs import parameter_override
import napari

viewer = napari.Viewer()
with parameter_override(angle=45, name="my image"):"path/to/folder", plugin="ndtiffs")

Valid keys for parameter_override include:

  • dx: (float) the pixel size, in microns
  • dz: (float)the z step size, in microns
  • deskew: (bool) whether or not to deskew, (by default, will deskew if angle > 0, or if a lattice metadata file is detected that requires deskewing)
  • angle: (float) the angle of the light sheet relative to the coverslip
  • padval: (float) the value with which to pad the image edges when deskewing (default is 0)
  • contrast_limits: (2-tuple of int) (min, max) contrast_limits to use when viewing the image
  • name: (str) an optional name for the image

Sample data

Try it out with test data: download sample data

You can unzip if you like, or just drag the zip file onto the napari window.

Or, from command line, use:

napari path/to/


To monitor file io and deskew activity, enter the following in the napari console:

import logging


Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.


Distributed under the terms of the BSD-3 license, "napari-ndtiffs" is free and open source software


If you encounter any problems, please file an issue along with a detailed description.

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