🎉 Announcing the naPLari hackathon in Kraków, Poland 🇵🇱, July 24–29 2026, after EuroSciPy!

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

📝 Register by July 1: napari.typeform.com/naplari-hack

#napari #ScientificPython #OpenSource #EuroSciPy #BioImageAnalysis

🔬 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.

✅ Only $20 USD
✅ Limited to 20 people
✅ 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.

👉 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:

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

* ‘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

Adventures in Code VII: getting started with napari

https://quantixed.org/2025/11/04/adventures-in-code-vii-getting-started-with-napari/

#AdventuresInCode #computing #code #microscopy #napari #python

✍️ New in #eLife: #CellSeg3D introduces #WNet3D, a self-supervised 3D #segmentation method for #microscopy data — 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