Particle Dataset (particle_dataset)

Overview

This DeepTrackAI repository contains two short videos of an optically trapped microscopic particle undergoing Brownian motion. The dataset was published in Helgadottir et al., Optica, 2019. One video is acquired with low noise (low_noise.avi), and the other with high noise (high_noise.avi). In both cases, the particle jiggles around the center of the frame due to thermal motion.

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Summary

• Number of videos: 2 (low_noise.avi, high_noise.avi)
• Frames per video: 100
• Frame size: 120×120 pixels
• Color: RGB
• Format: AVI

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Original Source

• Title: Digital video microscopy enhanced by deep learning
• Authors: Saga Helgadottir, Aykut Argun, Giovanni Volpe
• Journal: Optica, 6(4): 506–513 (2019)
• DOI: 10.1364/OPTICA.6.000506

If you use this dataset in your research, please follow the licensing requirements and properly attribute the original authors.

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Dataset Structure

/particle_dataset  
├── low_noise.avi     # Low-noise video of trapped particle (100 frames)  
└── high_noise.avi    # High-noise video of trapped particle (100 frames)

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How to Access the Data

Clone the Repository

git clone https://github.com/DeepTrackAI/particle_dataset
cd particle_dataset

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Attribution

Cite the original paper:

Helgadottir S, Argun A, Volpe G. Digital video microscopy enhanced by deep learning. Optica, 6(4): 506–513 (2019). https://doi.org/10.1364/OPTICA.6.000506

@article{helgadottir2019digital,
  title={Digital video microscopy enhanced by deep learning},
  author={Helgadottir, Saga and Argun, Aykut and Volpe, Giovanni},
  journal={Optica},
  volume={6},
  number={4},
  pages={506--513},
  year={2019},
  publisher={Optica Publishing Group}
}

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License

This dataset is shared under the Creative Commons Attribution-Share Alike 3.0 License, following the original licensing terms.