Our published version only deals with single colour data, but we are developing multi-colour analysis. Tests so far indicate an advantage to using one colour to obtain the pose and then limiting to finer alignments. Would be very happy to discuss your data! Always looking for new test cases.

Some fowl play here: vision language models are biased against 3-legged chickens, say they have 2 or 4 legs
vlmsarebiased.github.io

Many thanks to my fantastic collaborators including @deathandthepenguin.bsky.social,
@mmlab.bsky.social‬, @christlet.bsky.social‬, @georgelittlejohn.bsky.social‬, @katherine-baxter.bsky.social, @gailmcconnell.bsky.social‬, @superresolusian.bsky.social (5/5)

If you’d like to try SQUASSH our code is on github and includes a colab notebook.
github.com/edrosten/SQU...
colab.research.google.com/github/edros...
If your analysis requires a custom heterogeneity and you’d like some help, get in touch! (4/5)

…and visualise structures and heterogeneity from the 8 nm alpha-tubulin repeat up to the mm scale.(3/5)

By creating a structural model taking all the data into account and fitting the position, rotation, and heterogeneity in each observation of a structure, we can spot systematic biases in localisation microscopy data… (2/5)

How do you quantify cell structures which are deformed between different observations? Our preprint shows how to perform Simultaneous QUAntification of Structure and Structural Heterogeneity (SQUASSH) on 3D fluorescence microscopy data. (1/5)
www.biorxiv.org/content/10.1...