MX Samples

Ultralytics YOLOv26 Model for Macromolecular Crystallography Sample Alignment.

Model Details

Model Description

This PyTorch model file works with the Ultralytics YOLO Stack to provide inference for detecting pins, loops and crystals in images of Macromolecular Crystallography Samples.

Developed by: Stuart Read / Denis Spasyuk / Michel Fodje / Thiru Arunachalam
Funded by: Canadian Light Source, Inc
Shared by: Michel Fodje
Model type: Ultralytics YOLO, PyTorch format
License: GNU Affero General Public License

Uses

The primary use of the model is with the beamline inference software pypi.org/ai-center

Direct Use

pip install ai-center
app.server --video https://example.com/mjpeg/video.mjpg

Training Details

Training Data

Trained using video snapshots of images from MX Beamlines

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