Rezultati pretraživanja
  1. 31. sij

    Talking this afternoon for about at . Find me if you want to chat about image analysis, visualization, python, open source, or more!!

  2. 29. sij

    Wow!! So cool to see images from in

  3. 23. sij
  4. 20. sij

    Great thanks for the awesome python-based nd visualization platform and napari movie maker by . Now I can fully change my pipeline from Imaris to ecosystem. 😃

  5. The first hack day attendees. (+ , , and remotely). I’ll write more about what we did in the coming days. Thank you again for the space!

  6. Version 0.2.7 of — the fast and versatile nD image viewer (and more) is out!

  7. 19. pro 2019.

    the team is doing an incredible job -- rapidly iterating features, listening to the community, and communicating their mission and values

  8. 15. pro 2019.

    Here's how I used your example for lazy loading images in

  9. 4. pro 2019.

    Very excited to host Nicholas Sofroniew from at today. He’ll talk about the exciting new 3D viewer

  10. Some of us at the want a 'tracklet' layer for to better represent tracks in nD+t instead of hacking it together with existing layers. If you are interested, please join the discussion here: Let's build this together...

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  11. 28. stu 2019.

    0.2.6 has been released, featuring dockable widgets, labeled axes, faster painting, bug fixes and more. Thanks to all our contributors, particularly the new ones, and the for their 0.6.3 release. Full release notes:

  12. 26. stu 2019.

    Adventures with continue... Now with cell track and lineage visualization using comet tails. Tracking is using our package for Python:

  13. 25. stu 2019.

    is named after an pacific island not too far from says at 65th birthday symposium . I see / hackathon in the future in some rather attractive location.... wanna help?

  14. 24. stu 2019.

    Using in Jupyter notebook to get watershed segmentation for images of shape TZCYX by choosing certain Z and C is now ready at: Creating Binary images by thresholding and filling holes is at: PR please👆

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  15. 21. stu 2019.

    Just experimented with , a simple and GPU-accelerated image viewer. It displays anything that looks like a ndarray. It can therefore visualize and datasets directly from disk, lazy loading of relevant data included. Nice tool, good work.

  16. 21. stu 2019.

    I have been happily using in the past weeks for image visualisation in Python. The only missing thing is the possibility to make movies so I released a small tool to do just that. Check it out here and discuss here

  17. 21. stu 2019.

    Really excited by how easily we can extend for our ML and cell tracking pipelines. It's making our dev cycle shorter and more productive.

  18. 12. stu 2019.
  19. 7. stu 2019.

    On the last day of our a workshop i used Jupyter Notebooks to demonstrate some more advanced" ways to read CZI and OME-TIFF files incl. Metadata and visualize them via ipywidgets and the amazing napari viewer.

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  20. We just released 0.2.4! Includes a new gamma slider by , much faster switching to 3D view (by but thanks again to Talley), doc fixes by , better API for adding multiple channels, and more! Release notes at

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