π¬ 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.
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Only $20 USD
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Limited to 20 people
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Perfect for biologists, imaging specialists & data scientists
Two workshops at two different times.
π 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.
π 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:
* βearly career investigators trackβ: aims at mastering the most recent and common image analysis software tools.
* βanalysts trackβ: 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
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.
Iβll 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. π§ͺπ
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! π
βοΈ 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.
πΈ Have spatial data from a microscope, telescope, or MRI? Learn to explore it with napari at #EuroSciPy2025!
π By Grzegorz Bokota & Lorenzo
π§ͺ Tutorial: "Use napari for easier interactive extraction of knowledge from images and other spatial data"
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Use napari for image filtering, segmentation, and annotation
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Build custom widgets for your workflows
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Turn your tool into a plugin anyone can use!
ποΈ https://euroscipy.org/schedule
#napari #ScientificComputing #OpenSource
Image analysts: What is your go to method for batch converting image files from the proprietary format to a tiff file? If this should be done at all...
Iβve been using FIJI to open and re-save mine. Although this gives me another look at the image as a QC step, I am using Napari more and more and have found a tiff easier to load into Python.
napari
NFDI4BIOIMAGE
Albert Cardona
LoΓ―c A. Royer π»π¬π§ͺ
Stephen Royle
Fabrizio Musacchio
EuroSciPy
Jonathan Townson