πŸŽ‰ Announcing the naPLari hackathon in KrakΓ³w, Poland πŸ‡΅πŸ‡±, July 24–29 2026, after EuroSciPy!

Hack on napari, join deep dives, meet the team. All experience levels welcome!

πŸ“ Register by July 1: napari.typeform.com/naplari-hack

#napari #ScientificPython #OpenSource #EuroSciPy #BioImageAnalysis

1/ πŸš€ Excited to release: napari-mcp - agentic control of napari from any MCP-capable AI assistant! Use it for interactive image processing, analysis, and visualisation! Really cool project from @[email protected] from my team! #napari #bioimageanalysis #MCP @biohub

πŸ”¬ Registration is open for our pilot Introduction to napari Workshop!

napari is a powerful open-source image viewer for scientific data analysis in Python. This hands-on workshop will get you exploring multi-dimensional datasets fast.

βœ… Only $20 USD
βœ… Limited to 20 people
βœ… Perfect for biologists, imaging specialists & data scientists

Two workshops at two different times.

#napari #Python #ImageAnalysis #DataScience #OpenSource

🌟 MeetOurDataStewards

In our recent blog post, Cornelia Wetzker shares, how she led a project to make bioimage data from fluorescence lifetime imaging microscopy (FLIM) more #fair. In close collaboration with her @nfdi4bioimage colleagues and others, she created a workflow and a plugin for the open-source 3D viewer #Napari that enables the import and analysis of FLIM data.

πŸ‘‰ Learn more about the project and find inspiration to contribute to similar work: https://nfdi4bioimage.de/en/news/meet-our-data-stewards-cornelia-wetzker/

Bioimage Analysis course at Pasteur in Paris, by Jean-Yves Tinevez and Jean-christophe Olivo-Marin.

Dates: June 1st-5th, 2026.

Deadline for application: March 1st, 2026.

With two tracks:

* β€˜early career investigators track’: aims at mastering the most recent and common image analysis software tools.

* β€˜analysts track’: focuses on the use of advanced algorithms and computing resources for bioimage analysis.

https://www.pasteur.fr/en/education/programs-and-courses/pasteur-courses?id_cours=32719

#ImageProcessing #BioimageInformatics #Fiji #Icy #QuPath #Napari #Ilastik #TrackMate

Pasteur courses

Institut Pasteur
11/ πŸ”¬πŸ§ͺ Try it today! pip install napari-chatgpt β€” GitHub: github.com/royerlab/napari-chatgpt β€” Paper: doi.org/10.1038/s41592-024-02310-w #Omega #napari #AI #BioImageAnalysis

GitHub - royerlab/napari-chatg...
GitHub - royerlab/napari-chatgpt: A napari plugin to process and analyse images with chatGPT!

A napari plugin to process and analyse images with chatGPT! - royerlab/napari-chatgpt

GitHub
From @nvladimus : "We have opened the #mesoSPIM official User Forum" at https://forum.image.sc/tag/mesospim alongside #Fiji #ImageJ #ilastik #BiaPy #napari #DeepLabCut and many other open source softwares for bioimage informatics.

To wrap this up: Both tools are easy to test. I highly recommend trying them on your own data to see what works best for your use case.

I’ll include #CellSeg3D in our next #Napari #bioimage analysis course (https://www.fabriziomusacchio.com/teaching/teaching_bioimage_analysis/). Curious what impressions and feedback the students will share. πŸ§ͺπŸ”

What I really like about @napari is how well it integrates modern #Python tools. Great to have such a flexible, evolving #opensource platform for (bio) #imageanalysis! πŸ‘Œ

✍️ New in #eLife: #CellSeg3D introduces #WNet3D, a self-supervised 3D #segmentation method for #microscopy data β€” no labels needed. Claims to outperform #Cellpose/#StarDist on 4 datasets. Includes #opensource plugin (#Napari) + full 3D annotated #cortex dataset. Will test it later.

🌍 https://elifesciences.org/articles/99848

#DeepLearning #Neuroscience

CellSeg3D, Self-supervised 3D cell segmentation for fluorescence microscopy

Self-supervised deep learning models can accurately perform 3D segmentation of cell nuclei in complex biological tissues, enabling scalable analysis in settings with limited or no ground truth annotations.

eLife