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# ATLAS-1: 3D Drug-Treated Cancer Cells

**ATLAS-1** is a research dataset of single-cell **3D morphologies** captured under different drug treatments.  
It contains **1,500** WM266-4 human melanoma cells embedded in **collagen** and imaged using **oblique-plane light-sheet microscopy**. Each cell is released as a **1024-point point cloud** sampled from a reconstructed **surface mesh**.

- **Total cells:** 1,500  
- **Classes / conditions:**  
  - `nocodazole` (500) — microtubule inhibitor; rounded morphology  
  - `blebbistatin` (500) — myosin II inhibitor; elongated/spindle morphology  
  - `control` (500) — untreated baseline variability  
- **Representations:** point clouds (1024 pts/cell) and watertight meshes  
- **Intended use:** benchmarking point-cloud models on real biological shapes; studying drug-induced 3D morphology

> This dataset accompanies the **PointMIL** project (inherently interpretable point-cloud classification via MIL).

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## Dataset Summary

Cells were segmented, meshed with **marching cubes** (+ Laplacian smoothing), then **uniformly sampled** to 1024 points per cell from the surface mesh. Files are organized by condition with a metadata CSV that holds labels and basic experiment info.

**Why ATLAS-1?**
- Real, noisy, heterogeneous 3D cell shapes (not synthetic CAD)
- Clear treatment effects (rounded vs elongated) for interpretable benchmarks
- Comes with both **mesh** and **point-cloud** views for flexible pipelines

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**To download:**
```bash
hf download --repo-type dataset Sentinal4D/ATLAS-1 --local-dir ./