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Expand Up @@ -6,6 +6,13 @@
DeepTrack is a comprehensive deep learning framework for digital microscopy.
We provide tools to create physical simulations of customizable optical systems, to generate and train neural network models, and to analyze experimental data.

If you use DeepTrack 2.0 in your project, please cite our DeepTrack 2.0 article:
```
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8 (2021), 011310.
https://doi.org/10.1063/5.0034891
```
# Getting started

## Installation
Expand Down Expand Up @@ -120,14 +127,23 @@ The detailed documentation of DeepTrack 2.0 is available at the following link:
## Cite us!

If you use DeepTrack 2.0 in your project, please cite us here:

Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe. "Quantitative Digital Microscopy with Deep Learning." [https://doi.org/10.1063/5.0034891](https://aip.scitation.org/doi/10.1063/5.0034891)

```
Benjamin Midtvedt, Saga Helgadottir, Aykut Argun, Jesús Pineda, Daniel Midtvedt, Giovanni Volpe.
"Quantitative Digital Microscopy with Deep Learning."
Applied Physics Reviews 8 (2021), 011310.
https://doi.org/10.1063/5.0034891
```
See also:

Saga Helgadottir, Aykut Argun, and Giovanni Volpe. "Digital video microscopy enhanced by deep learning." Optica 6.4 (2019): 506-513. [10.1364/OPTICA.6.000506](https://doi.org/10.1364/OPTICA.6.000506)

Saga Helgadottir, Aykut Argun, and Giovanni Volpe. "DeepTrack." https://github.com/softmatterlab/DeepTrack.git (2019).

```
Saga Helgadottir, Aykut Argun, and Giovanni Volpe.
"Digital video microscopy enhanced by deep learning."
Optica 6.4 (2019): 506-513.
https://doi.org/10.1364/OPTICA.6.000506
```
```
Saga Helgadottir, Aykut Argun, and Giovanni Volpe.
"DeepTrack." (2019)
https://github.com/softmatterlab/DeepTrack.git
```
## Funding
This work was supported by the ERC Starting Grant ComplexSwimmers (Grant No. 677511).