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:

hf download --repo-type dataset Sentinal4D/ATLAS-1 --local-dir ./