Skip to main content

iSEBM: Automated ROI Targeting in Volume Electron Microscopy

License MIT PyPI tests napari hub

Ronchi, Paolo, Graham Ross, Alana Burrell, et al. 2026. ‘iSBEM: An Open-Source Workflow for Automated ROI Targeting in Volume Electron Microscopy’. Preprint, bioRxiv, June 6. https://doi.org/10.64898/2026.06.05.730298.

A napari plugin to enable targeted imaging in SBEMimage. Regions of interest identified in X-Ray Microscopy (XRM) (or other correlative modality) images can be registered to the SBF-SEM data, and the plugin communicates with SBEMimage over TCP to automatically update acquisition regions in real-time. Read the accompanying preprint and the documentation for more information.


Version Compatibility

napari-isbem communicates with SBEMimage over TCP — they do not necessarily need to be run in the same Python environment. You need compatible versions of each:

napari-isbem SBEMimage Notes
v0.2.1+ ≥ 2026.06 Recommended
v0.2.0 2026.02.06 dev (3754ef9) Breaking change from v0.1.0
v0.1.0 2025.11.14 dev (58e36a5) Initial release

[!IMPORTANT] v0.2.0 introduced a breaking change in the SBEMimage metadata format. napari-isbem v0.2.x is not compatible with earlier SBEMimage versions, and v0.1.0 is not compatible with later ones.

[!TIP] To install a specific version, use napari-isbem==<version>, for example pip install napari-isbem==0.1.0, or download directly from the releases page.

Installation

Installing napari

Create a Python 3.12 environment with napari installed (skip this step if you are already a napari user and have napari installed in your environment).

Using Python with uv:

uv venv napari-isbem --python 3.12
source napari-isbem/bin/activate
uv pip install 'napari[all]==0.5' qtpy

Using conda:

conda create -n napari-isbem python=3.12 napari=0.5 pyqt -c conda-forge
conda activate napari-isbem

Installing the plugin

# with uv
uv pip install napari-isbem
# to install a specific version, e.g. v0.2.0
uv pip install napari-isbem==0.2.0
# with pip/conda
pip install napari-isbem

Launch with

napari -w napari-isbem

SBEMimage

SBEMimage is installed separately (it is not a Python package dependency of napari-isbem). See the SBEMimage installation guide or clone from the SBEMimage repository.

More detailed instructions for all scenarios can be found in the installation documentation.

Usage

To get started, follow the step by step illustrated user guide. For more detailed information on the features and settings, see the full documentation.

Contributing

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.

License

Distributed under the terms of the MIT license, "napari-isbem" is free and open source software.

Issues

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

Metadata

Release files for napari-isbem 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for napari-isbem 0.2.2
File Size Uploaded
napari_isbem-0.2.2.tar.gz 18.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for napari-isbem 0.2.2
File Interpreter ABI Platform
napari_isbem-0.2.2-py3-none-any.whl Python 3 none any Details

Total release size: 18.6 MB

Release files / napari_isbem-0.2.2.tar.gz

Download URL napari_isbem-0.2.2.tar.gz
Size 18.5 MB
Tags Source
SHA-256 checksum
How to use checksums
d0dcb654bf5af3cdd09c34110c7dcfe3c8889ab7d429316f15573f22a2a63dc2
BLAKE2b-256 checksum
How to use checksums
0f402d4533777b4495d65d3aedfb468f4d3c8bc4b9b59eb4e34ca504e9379499
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release files / napari_isbem-0.2.2-py3-none-any.whl

Download URL napari_isbem-0.2.2-py3-none-any.whl
Size 65.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6e5c6f67e0eed9e817b53427cc6eb9e81533438f636bfb081c0caea5d8d85dc4
BLAKE2b-256 checksum
How to use checksums
1ad2656b518a34c1dbfc8f46a818168c21c8d08e778edb3abd47f62fbe492c9b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.11

Release history Release notifications | RSS feed

This release

0.2.2 This release

2 release files

0.2.1

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page