Quantum Dots Dataset (qdots_dataset)

Overview

This DeepTrackAI repository contains a 500-frame movie of quantum dots (Qdot655) labeling occludin molecules diffusing on the membrane of Caco-2 cells. The movie was recorded with 488-nm excitation.

Summary

• Number of images: 500 frames
• Image size: 1200 × 1200 pixels
• Image format: 12-bit grayscale TIFF

Experimental parameters

• Frame rate: 30 fps (frames per second)
• Pixel size: 109.7 nm/pixel

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Original Source

• Title: Quantum Dots Dataset
• Authors: Montse Masoliver-Prieto, Sergi Masó-Orriols, Marta Cullell-Dalmau, Joan Bertran, & Carlo Manzo
• Source: This repository
• 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

/qdots_dataset  
  └── frames/
      ├── frame_001.tif
      ├── frame_002.tif
      └── ...        

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How to Access the Data

Clone the Repository

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

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Attribution

When using this dataset, please cite the Quantum Dots dataset repository.

Cite this repository:

Masoliver M, Masó-Orriols S, Cullell-Dalmau M, Bertran J, & Manzo C. Quantum Dots Dataset. GitHub (2020). GitHub

@misc{masoliver2020qdots,
  title        = {Quantum Dots Dataset},
  author       = {Masoliver, M and Masó-Orriols, S and Cullell-Dalmau, M and Bertran, J and Manzo, C},
  year         = {2020},
  howpublished = {\url{https://github.com/DeepTrackAI/qdots_dataset/}}
}

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License

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