Thanks for sharing! I think scale-hierarchical “zones” offer an interesting lens on sub-cellular information flow. I’d be curious how compression, selection, or computation at each scale could be approached analytically, especially with physical and emergent properties shaping the flow.

11/ We're excited about the implications for membrane organisation, cellular decision-making, and how physical interactions can encode computational logic in biology. 📝 Check out the full paper here: arxiv.org/abs/2506.14739 We would love to hear your thoughts! 👇

10/ Huge thanks to my incredible coauthors Hiral Shah (@hiralshah.bsky.social), Roman Belousov, Gautam Dey (@gautamdey.bsky.social), and Anna Erzberger -- this project was a true collaboration, combining theory, modelling, and experimental validation. So grateful for your brilliance and support!

9/ The observed patterns matched our model, and their parameters place these systems near the predicted optimal filtering regime -- These NPCs may act as efficient spatial thresholding filters! #Microscopy #QuantBio #Microtubules #UExM

8/ To test our predictions, we used expansion microscopy to examine distributions of nuclear pore complexes in Sphaeroforma arctica.

7/ Surprisingly (and excitingly!), when we analysed real biological systems from the literature, their particle parameters often fell within these optimal regions, suggesting that cells might indeed be taking advantage of this mechanism! #EvoDevo #Biophysics

6/ We identified an optimal phase space region where this classification works best. Interestingly, this region depends on the dimensionality of the input signal.

5/ Cells could perform a binary classification of spatial cues based on particle organisation -- transmitting only “relevant” information across compartment interfaces (like membranes). It’s a simple yet energy-efficient and powerful way for cells to decide what signals to pass on. #CellSignaling

4/ The particle distribution therefore acts like a spatial thresholding filter, providing a new way to think about how membrane-bound structures manage information flow. #MembraneBiology #InformationProcessing

3/ We found that when surface-associated particles (e.g., proteins) repel each other and interact with nearby structures, their density exhibits a nonlinear, sigmoidal response to spatial features in the environment.

2/ Living systems use chemical signals to communicate, but physical properties like repulsion between particles also shape how information flows. We propose a physics-based mechanism by which cells could interpret spatial cues. #CellBiology #Biophysics #Physics