Particle Dataset (particle_dataset)

Overview

This DeepTrackAI repository contains two short videos of an optically trapped microscopic particle undergoing Brownian motion in the optical potential. 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.

Summary

• Number of videos: 2 (low_noise.avi, high_noise.avi)
• Frames per video: 100
• Image size: 120 × 120 pixels
• Video format: 8-bit RGB AVI

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Original Source

• Title: Particle tracking dataset
• Authors: Saga Helgadottir, Aykut Argun, Giovanni Volpe
• Source: This repository
• Reference article: Helgadottir S., Argun A., Volpe G. Optica 6(4): 506–513 (2019). DOI: 10.1364/OPTICA.6.000506
• License: Creative Commons Attribution 4.0 International (CC BY 4.0)

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
└── high_noise.avi    # High-noise video of trapped particle

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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

If you use this dataset, please cite the reference article.

Cite the reference article:

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},
  doi={10.1364/OPTICA.6.000506}
}

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License

This dataset is shared under the Creative Commons Attribution 4.0 International (CC BY 4.0) License.