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README.md

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@@ -52,12 +52,12 @@ DeepTrack is a general purpose deep learning framework for microscopy, meaning y
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<img width="300" src=/assets/SPT-ideal.gif?raw=true>
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<img width="300" src=/assets/SPT-noisy.gif?raw=true>
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<br/>
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<a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/paper-examples/2-single_particle_tracking.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training a CNN-based single particle tracker using simulated data </a>
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<a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/paper-examples/2-single_particle_tracking.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training a CNN-based single particle tracker using simulated data </a>
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<a href="https://doi.org/10.1038/s41467-022-35004-y" alt="DOI lodestar">
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<img src="https://img.shields.io/badge/DOI-10.1038%2Fs41467--022--35004--y-blue">
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</a>
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<a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/LodeSTAR/02.%20tracking_particles_of_various_shapes.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Unsupervised training of a single particle tracker using LodeSTAR </a>
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<a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/LodeSTAR/02.%20tracking_particles_of_various_shapes.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Unsupervised training of a single particle tracker using LodeSTAR </a>
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</p>
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<a href="https://doi.org/10.1038/s41467-022-35004-y" alt="DOI lodestar">
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<img src="https://img.shields.io/badge/DOI-10.1038%2Fs41467--022--35004--y-blue">
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</a> <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/LodeSTAR/03.track_BF-C2DL-HSC.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training LodeSTAR to detect multiple cells from a single image </a>
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</a> <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/LodeSTAR/03.track_BF-C2DL-HSC.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training LodeSTAR to detect multiple cells from a single image </a>
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<a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/paper-examples/4-multi-molecule-tracking.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training a UNet-based multi-particle tracker using simulated data </a>
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<a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/paper-examples/4-multi-molecule-tracking.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Training a UNet-based multi-particle tracker using simulated data </a>
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</p>
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We have two separate series of notebooks which aims to teach you all you need to know to use DeepTrack to its fullest. The first is a set of six notebooks with a focus on the application.
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1. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/get-started/01.%20deeptrack_introduction_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> deeptrack_introduction_tutorial </a> gives an overview of how to use DeepTrack 2.1.
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2. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/tutorials/tracking_particle_cnn_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> tracking_particle_cnn_tutorial </a> demonstrates how to track a point particle with a convolutional neural network (CNN).
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3. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/tutorial/tracking_multiple_particles_unet_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> tracking_particle_cnn_tutorial </a> demonstrates how to track multiple particles using a U-net.
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4. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/tutorials/characterizing_aberrations_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> characterizing_aberrations_tutorial </a> demonstrates how to add and characterize aberrations of an optical device.
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5. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/tutorials/distinguishing_particles_in_brightfield_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> distinguishing_particles_in_brightfield_tutorial </a> demonstrates how to use a U-net to track and distinguish particles of different sizes in brightfield microscopy.
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6. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/tutorials/analyzing_video_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> analyzing_video_tutorial </a> demonstrates how to create videos and how to train a neural network to analyze them.
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1. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/get-started/01.%20deeptrack_introduction_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> deeptrack_introduction_tutorial </a> gives an overview of how to use DeepTrack 2.1.
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2. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/tutorials/tracking_particle_cnn_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> tracking_particle_cnn_tutorial </a> demonstrates how to track a point particle with a convolutional neural network (CNN).
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3. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/tutorial/tracking_multiple_particles_unet_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> tracking_particle_cnn_tutorial </a> demonstrates how to track multiple particles using a U-net.
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4. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/tutorials/characterizing_aberrations_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> characterizing_aberrations_tutorial </a> demonstrates how to add and characterize aberrations of an optical device.
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5. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/tutorials/distinguishing_particles_in_brightfield_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> distinguishing_particles_in_brightfield_tutorial </a> demonstrates how to use a U-net to track and distinguish particles of different sizes in brightfield microscopy.
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6. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/tutorials/analyzing_video_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> analyzing_video_tutorial </a> demonstrates how to create videos and how to train a neural network to analyze them.
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The second series focuses on individual topics, introducing them in a natural order.
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1. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/get-started/01.%20deeptrack_introduction_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Introducing how to create simulation pipelines and train models. </a>
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2. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/get-started/02.%20using_deeptrack_generators.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Demonstrating data generators. </a>
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3. <a href="https://colab.research.google.com/github/softmatterlab/DeepTrack-2.0/blob/master/examples/get-started/03.%20customizing_deeptrack_models.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Demonstrating how to customize models using layer-blocks. </a>
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1. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/get-started/01.%20deeptrack_introduction_tutorial.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Introducing how to create simulation pipelines and train models. </a>
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2. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/get-started/02.%20using_deeptrack_generators.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Demonstrating data generators. </a>
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3. <a href="https://colab.research.google.com/github/DeepTrackAI/DeepTrack2/blob/develop/examples/get-started/03.%20customizing_deeptrack_models.ipynb"> <img src="https://colab.research.google.com/assets/colab-badge.svg"> Demonstrating how to customize models using layer-blocks. </a>
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## DeepTrack 2.1 in action
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