A meta plugin for processing timelapse data timepoint by timepoint. It
enables a list of napari plugins to process 2D+t or 3D+t data step by step when the user goes
through the timelapse. Currently, these plugins are using napari-time-slicer:

napari-time-slicer enables inter-plugin communication, e.g. allowing to combine the plugins listed above in
one image processing workflow for segmenting a timelapse dataset:

If you want to convert a 3D dataset into as 2D + time dataset, use the
menu Tools > Utilities > Convert 3D stack to 2D timelapse (time-slicer). It will turn the 3D dataset to a 4D datset
where the Z-dimension (index 1) has only 1 element, which will in napari be displayed with a time-slider. Note: It is
recommended to remove the original 3D dataset after this conversion.

Usage for plugin developers

Plugins which implement the napari_experimental_provide_function hook can make use the @time_slicer. At the moment,
only functions which take napari.types.ImageData, napari.types.LabelsData and basic python types such as int
and float are supported. If you annotate such a function with @time_slicer it will internally convert any 4D dataset
to a 3D dataset according to the timepoint currently selected in napari. Furthermore, when the napari user changes the
current timepoint or the input data of the function changes, a re-computation is invoked. Thus, it is recommended to
only use the time_slicer for functions which can provide [almost] real-time performance. Another constraint is that
these annotated functions have to have a viewer parameter. This is necessary to read the current timepoint from the
viewer when invoking the re-computions.


import napari
from napari_time_slicer import time_slicer

def threshold_otsu(image:napari.types.ImageData, viewer: napari.Viewer = None) -> napari.types.LabelsData:
    # ...

You can see a full implementations of this concept in the napari plugins listed above.

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


You can install napari-time-slicer via pip:

pip install napari-time-slicer

To install latest development version :

pip install git+


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-time-slicer” is free and open source software


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


View Github