Research engineer and core facility manager at the Institut Pasteur
https://research.pasteur.fr/en/team/image-analysis-hub/
Everything #TrackMate #Mastodon-sc (the tool to track lineages in microscopy videos, not the social networks etc).
Views are my own ..
more
Research engineer and core facility manager at the Institut Pasteur
https://research.pasteur.fr/en/team/image-analysis-hub/
Everything #TrackMate #Mastodon-sc (the tool to track lineages in microscopy videos, not the social networks etc).
Views are my own
Reposted by Jean-Yves Tinévez, Olivier Sandre
Plus d'infos : forms.gle/hw9wH2p5UH4A...
Reposted by Jean-Yves Tinévez
🥇 Romain Levayer
🥇 Pierre-Jean Corringer
🥇 Eduardo Rocha
🥇 Hervé Bourhy
Congratulations !
Reposted by Jean-Yves Tinévez
Interesting for frameworks that guide users towards plausible tracking mistakes
www.nature.com/articles/s41...
Reposted by Jean-Yves Tinévez
Customizable FDM-based zebrafish embryo mold for live imaging
www.biorxiv.org/content/10.1...
Work by Marcela and Jaakko in the lab
Reposted by Jean-Yves Tinévez
Reposted by Jean-Yves Tinévez
Reposted by Jean-Yves Tinévez
We’re excited to unveil the new presentation video of our Education Center, a space dedicated to training the next generation of scientists, health professionals, and researchers from around the world
➡️ www.pasteur.fr/en/education...
@pasteur.fr
Reposted by Mart Krupovìč, Jean-Yves Tinévez
Reposted by Jean-Yves Tinévez
forum.image.sc/t/bigvolumeb...
Reposted by Jean-Yves Tinévez
Reposted by Jean-Yves Tinévez
It is the first deep-learning-based ("AI") drop-in replacement for TrackMate's regular LAP-Track algorithm.
Tracks out of the box for many types of datasets (bacteria, fluorescent nuclei, phase contrast cell culture etc), zero parameters to tune 🤖
forum.image.sc/t/trackmate-...
Enjoy!
And other things.
The most important bugfix we introduce is the memory leak that was evading us for a long time. To fix it I completely redesigned the detector factory API, introducing big breaking changes
With Marie Anselmet. Here we integrated the object detection routine of YOLO, so objects are detected as boxes and add in TrackMate as circular spots. YOLO does not ship pretrained model for microscopy, so you will have to provide or train one yourself.
With Martin Weigert & Benjamin Galluser: Integrated Trackastra as a tracker into TrackMate. This required some changes in Trackastra CLI and a rework of the tracker API of TrackMate.