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| | {} |
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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 ./ |
| | |
