@@ -81,35 +81,35 @@ Here you find a series of notebooks that give you an overview of the core featur
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8282These are examples of how DeepTrack2 can be used on real datasets:
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84- - 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 >
84+ - 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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8686 Training a fully connected neural network to identify handwritten digits using MNIST dataset.
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88- - DTEx202 ** Single Particle Tracking**
88+ - DTEx212 ** Single Particle Tracking**
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9090 Tracks experimental videos of a single particle. (Requires opencv-python compiled with ffmpeg)
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94- - DTEx203 ** Multi-Particle tracking**
94+ - DTEx213 ** Multi-Particle tracking**
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9696 Detecting quantum dots in a low SNR image.
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100- - DTEx204 ** Particle Feature Extraction**
100+ - DTEx214 ** Particle Feature Extraction**
101101-
102102 Extracting the radius and refractive index of particles.
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104- - DTEx205 ** Cell Counting**
104+ - DTEx215 ** Cell Counting**
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106106 Counting the number of cells in fluorescence images.
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108- - DTEx206 ** 3D Multi-Particle tracking**
108+ - DTEx216 ** 3D Multi-Particle tracking**
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110110 Tracking multiple particles in 3D for holography.
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112- - DTEx207 ** GAN image generation**
112+ - DTEx217 ** GAN image generation**
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114114 Using a GAN to create cell image from masks.
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