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Susan Cox

@micoxscopy.bsky.social

Microscopy. Computer vision. Cell cytoskeleton. King's College London

55 Followers  |  28 Following  |  7 Posts  |  Joined: 06.08.2025  |  1.5069

Latest posts by micoxscopy.bsky.social on Bluesky

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.

20.08.2025 17:08 — 👍 1    🔁 0    💬 1    📌 0
A picture of a three legged chicken with the number of legs returned by different vision language models (2 or 4)

A picture of a three legged chicken with the number of legs returned by different vision language models (2 or 4)

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

19.08.2025 07:26 — 👍 3    🔁 1    💬 1    📌 0

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)

12.08.2025 16:18 — 👍 4    🔁 0    💬 0    📌 0
GitHub - edrosten/SQUASSH Contribute to edrosten/SQUASSH development by creating an account on GitHub.

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)

12.08.2025 16:18 — 👍 4    🔁 1    💬 2    📌 0
Top row shows spectrin rings in axons, middle row shows cell division, and bottom row shows plant trichomes.

Top row shows spectrin rings in axons, middle row shows cell division, and bottom row shows plant trichomes.

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

12.08.2025 16:18 — 👍 3    🔁 0    💬 1    📌 0
Top row of image show nuclear pore structures derived from RESI data on the left and from 4Pi STORM and the right. Bottom graph shows that the RESI results show a correlation between the two rings of the nuclear pore structure and the z position, while the 4pi results show no such correlation

Top row of image show nuclear pore structures derived from RESI data on the left and from 4Pi STORM and the right. Bottom graph shows that the RESI results show a correlation between the two rings of the nuclear pore structure and the z position, while the 4pi results show no such correlation

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)

12.08.2025 16:18 — 👍 3    🔁 0    💬 1    📌 0
Preview
Extracting biological structure and heterogeneity from the nano to the macro scale Fluorescence microscopy is an essential tool in biology. It has revealed great variability at multiple scales, in macromolecular complexes, cells, and organisms. Understanding this variability will re...

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...

12.08.2025 16:18 — 👍 28    🔁 7    💬 1    📌 4

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