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README-pypi.md

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@@ -81,35 +81,35 @@ Here you find a series of notebooks that give you an overview of the core featur
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These are examples of how DeepTrack2 can be used on real datasets:
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- DTEx201 **[MNIST](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/2-examples/DTEx201_MNIST.ipynb)** <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/tutorials/2-examples/DTEx201_MNIST.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg"></a>
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- DTEx211 **[MNIST](https://github.com/DeepTrackAI/DeepTrack2/blob/develop/tutorials/2-examples/DTEx201_MNIST.ipynb)** <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/tutorials/2-examples/DTEx201_MNIST.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg"></a>
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Training a fully connected neural network to identify handwritten digits using MNIST dataset.
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- DTEx202 **Single Particle Tracking**
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- DTEx212 **Single Particle Tracking**
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Tracks experimental videos of a single particle. (Requires opencv-python compiled with ffmpeg)
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- DTEx203 **Multi-Particle tracking**
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- DTEx213 **Multi-Particle tracking**
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Detecting quantum dots in a low SNR image.
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- DTEx204 **Particle Feature Extraction**
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- DTEx214 **Particle Feature Extraction**
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Extracting the radius and refractive index of particles.
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- DTEx205 **Cell Counting**
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- DTEx215 **Cell Counting**
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Counting the number of cells in fluorescence images.
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- DTEx206 **3D Multi-Particle tracking**
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- DTEx216 **3D Multi-Particle tracking**
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Tracking multiple particles in 3D for holography.
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- DTEx207 **GAN image generation**
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- DTEx217 **GAN image generation**
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Using a GAN to create cell image from masks.
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