Trying something new: For our recent preprint: Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers www.biorxiv.org/content/10.1... I made an online presentation: www.beautiful.ai/player/-ODGe... - ThreadSky

guijacquemet.bsky.social • 99 days ago

Trying something new: For our recent preprint:

Fast label-free live imaging reveals key roles of flow dynamics and CD44-HA interaction in cancer cell arrest on endothelial monolayers

https://www.biorxiv.org/content/10.1101/2024.09.30.615654v1

I made an online presentation:
https://www.beautiful.ai/player/-ODGe0_BmN_xu1Y7Yyv5

Comments

guijacquemet.bsky.social•99 days ago

Fantastic work done by @follainga.bsky.social @sujanghimire.bsky.social @jwpylvanainen.bsky.social, Monika Vaitkevičiūtė, Diana Wurzinger, Camilo Guzmán, James Conway, Michal Dibus, Sanna Oikari
Great collaboration with @johannaivaska.bsky.social @ivaskalab.bsky.social, Kirsi Rilla and Marko Salmi

lainebioimaging.bsky.social•98 days ago

Well done! Amazing work

vartak.bioimaging.tech•98 days ago

This is cool but it’s a little cringe to call good old brightfield imaging ‘label-free' even if technically correct. Label free typically is used to refer to photoacoustic, Raman-based, optical coherence…unconventional ways of generating contrast.

guijacquemet.bsky.social•98 days ago

That's an interesting point, why would this be the case? Label free literally means no labels and doesn't imply anything else. I'm curious why you wouldn't think that brightfield wouldn't qualify? Too simple?

vartak.bioimaging.tech•98 days ago

To be clear, I am not saying it doesn’t qualify. It just came across to me like calling sunlight ‘electricity-free illumination’.

vartak.bioimaging.tech•98 days ago

It’s historical. Brightfield was the first and it was originally label free anyway. Then came the labels - first chromophores and then fluorophores which segmented structures that could not be distinguished in brightfield.

vartak.bioimaging.tech•98 days ago

And now again, we are trying to get label-free while preserving the same segmentation capabilities as the labelled versions using either different ways of generating the contrast or using machine learning etc. of course this is subjective and semantic and has nothing to do with the science.

guijacquemet.bsky.social•98 days ago

Sounds like a pretty good description of what we are doing since we are using DL based segmentation and artificial labelling to complement a label free method. Thanks for sharing your thoughts

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