CellPhePy is now available 🎉🎉🎉 in the journal of #microscopy. A python version for #CellPhe.
See doi.org/10.1111/jmi....
Thanks @ukri.org and @wellcometrust.bsky.social for funding

@globias.bsky.social @globalbioimaging.bsky.social @eurobioimaging.bsky.social @bioimaginguk.bsky.social

Fun talking at #MM2025 in Salt Lake City. #CellPhe getting a brief introduction alongside how projects are using #SRM, #QPI through to spatial omic approaches.
Thx @welcome trust and @ukri.org BBSRC for funding.

And again super exciting developments... CellPhe catched my interest 😉

www.biorxiv.org/content/10.1...

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos https://www.biorxiv.org/content/10.1101/2025.01.07.631669v1

Keeping it simple and affordable, so no fluorescence on our adaption. But we can still do a lot of research label-free, and we have new analysis hopefully coming that will help even further with @piximi-official.bsky.social and #CellPhe

🔬The authors of "CellPhePy: A python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos" have developed a python implementation of CellPhe, named CellPhePy.

The paper is #OpenAccess and available here > onlinelibrary.wiley.com/doi/10.1111/...

💬 New preprint evaluation by @arcadiascience.bsky.social of

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos

https://sciety.org/articles/activity/10.1101/2025.01.07.631669?utm_source=bluesky&utm_medium=social&utm_campaign=pr

We've published a new Open Research in Practice case study, based on a project from the Dept of Biology we awarded back in 2023 👇

@laurawiggins13.bsky.social used open approaches in their PhD to develop a toolkit for cell phenotyping, using time-lapse imaging and pattern recognition 🦠

The toolkit was developed in R for accessibility and to broaden its potential user base. A manual and demonstration video were created as a guide through installation and usage 👩‍💻

An #openaccess paper describing the toolkit was also published in @naturecomms.bsky.social: doi.org/10.1038/s414... 📃🔓

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos https://www.biorxiv.org/content/10.1101/2025.01.07.631669v1

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos [new]
CellPhePy: auto cell pheno TLM (Py); seg/track, feat. analysis/class.