clement cazorla

I am a postdoc researcher in bioimage analysis at CBI Toulouse. Main author of Svetlana and Sketchpose Napari plugin 😎

[clement cazorla @cazorla31]

#Sketchpose is out in @MELBAJournal !
Go read it if you are interested in training cell segmentation models using few partial annotations😀

https://t.co/MchVtWrKgM

[clement cazorla @cazorla31]

Thrilled to share MyoFuse, an AI-based workflow for automated skeletal muscle cell fusion quantification! 🥳
This is a collaboration with @Benjamin_Lair_ and @CedricMoro_I2MC (@I2mcT), improving the Fusion Index (FI) measurement.

Preprint: https://t.co/XHtCbpoT4U

[Constantin Pape @cppape]

After a long journey, Segment Anything for Microscopy is now published in Nature Methods! We significantly improve SAM for interactive and automatic segmentation in light and electron microscopy and build a user-friendly tool. https://t.co/HL19SGMdNt

[Volodymyr Nechyporuk-Zloy @vnzloy]

SAMCell: Generalized Label-Free Biological Cell Segmentation with Segment Anything
Alexandra Dunnum VandeLoo, Nathan J. Malta, Emilio Aponte, Caitlin van Zyl, Danfei Xu and Craig Forest
https://t.co/AYYaos9iqp

[StainsFile @StainsFile]

Researchers at @Imactiv3D and @maths_toulouse aim to streamline the classification of #histopathology segmentation results by minimizing the amount of manual annotation. 🖊️

Learn about the plugin they've created to address this issue in @SciReports: https://t.co/kVazRNr1wg

[Pete Bankhead @petebankhead]

Find out more about InstanSeg from Thibaut himself at his Virtual I2K tutorial next week!
Register at https://t.co/iEVjaZ9I3k

[Thomas Fel @thomas_fel_]

Last year, we found that diffusion models are nearly bridging the gap between human and machine (diversity vs. recognizability) for drawing https://t.co/ubRUCqxKe4.

This year, we’re exploring which inductive bias best captures human-like creativity in VAE latents 🎨

[Robert Haase @haesleinhuepf]

Amazing, @StRigaud is demonstrating multi-GPU support🎉 using #pyclesperanto(without _prototype) for #BioImageAnalysis at #I2K2024(virtual)!🔬🖥️🚀
The notebook is available online #openaccess
https://t.co/fpUimUA204

[Robert Haase @haesleinhuepf]

I just uploaded my slides for the webinar about #BioImageAnalysis Code Generation at #I2K2024 - #openaccess. See you in an hour! 🔬🖥️🤖🔓
https://t.co/R9TI8J7b9B

[clement cazorla @cazorla31]

@haesleinhuepf Thanks Robert, great presentation!

[Loïc A. Royer 💻🔬⚗️ @loicaroyer]

🚀 Thrilled to announce #inTRACKtive: a web-based tool for exploring massive cell-tracking datasets, no software installation required! Just open your browser and dive into terabytes of developmental biology data. We used it to build the virtual https://t.co/ZpTn6MvKtF of tracked embryonic development datasets 🐭🪰🪱🪲🐠, but you can also use it for your own data! 🔬

Preprint:
https://t.co/AGUek2Adom

Repository:
https://t.co/FWT0xixJmv

This project was spear-headed by @TeunHuijben, together with engineers Andrew Sweet and @aganders3 from @cziscience

@czbbiohub #CZBiohubSF #devbio #tracking #web #visualization

🧵1/n

[Thomas Mangeat @TMangeat]

Our new paper EDF RIM

[clement cazorla @cazorla31]

Our Napari plugin Svetlana (https://t.co/Fe75ZCEc2h) for classifying ROIs in segmentation masks has improved. Try it!
1) The unbalance between classes is now managed better.
2) An interactive loss plotting is available in the GUI.
3) An automatic check-for-updates.

[clement cazorla @cazorla31]

@batut_julie @MarieZilliox25 Bravo @MarieZilliox25 🤩

[clement cazorla @cazorla31]

@haesleinhuepf Nice !

[Robert Haase @haesleinhuepf]

I implemented an oldie-but-goodie for Jupyter Notebooks: Interactive plotting and clustering with segmented images side-by-side; new in #stackview 0.7.11: "clusterplot", inspired by the napari-clusters-plotter 🔬💻🤩
https://t.co/l8tFmW2L9u

[Thomas Fel @thomas_fel_]

If you're not already following @Christophe21664, you definitely should! 😉
I'm super proud of this work, and there's more on the way. In case you're curious, Chris created these images without diffusion—just pure gradient ascent on a classifier. A true magician 🐇

[Loïc A. Royer 💻🔬⚗️ @loicaroyer]

So happy to see how far @napari_imaging has gone! The repo was created with @jnuneziglesias on the Caltrain on the way to the @ComputerHistory Museum. Fast forward 6 (!) years and napari is an essential tool for bioimaging and the Python Science ecosystem. Thanks to a thriving and tireless community! Congrats to all contributors, past and present! #SoProud

[clement cazorla @cazorla31]

@mattersOfLight @batut_julie

[clement cazorla @cazorla31]

A kind reminder 😇

[clement cazorla @cazorla31]

For those who want a video tutorial about how to use Svetlana Napari plugin 😉