# Plasmon Works

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Eun Sohl Koh](https://cerebralvalley.ai/u/doraicat)
- **GitHub:** https://github.com/e-stella/tem-particle-metrics, https://github.com/e-stella/aunp_speciation, https://github.com/e-stella/aunp_speciation/blob/a9c135262b3dc48a7c3c6932ffafad7712e6e25e/reports/progress_260713.pdf
- **Demo video:** https://youtu.be/8-3Eml3BOI8?si=f9RYuK0M-Lx6We6z
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/172

Speciate is an automated pipeline that turns a TEM micrograph of gold nanoparticles into the three numbers a nanoparticle lab needs on every batch: mean size, size distribution, and — the hard one — how aggregated the particles are in solution. Stage one segments every particle with a Segment-Anything foundation model (NP-SAM) plus a one-click human-QC reviewer, validated to within ±6% of hand-counting across eight of the Dragnea lab's (Indiana University) samples while measuring up to 6× more particles. Stage two feeds those sizes into a first-principles optical model (Mie → exact multipole T-matrix) that predicts the UV-Vis spectrum with zero fitted parameters; where the prediction breaks, that gap quantifies aggregation — a readout no existing UV-Vis tool provides. It replaces a half-day of manual TEM counting with a minutes-long, higher-throughput measurement. Two open-source, MIT-licensed repos with a clean data contract.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/172. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt