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doc: add explanations of notebook versions
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README.md

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@@ -41,6 +41,8 @@ To install 3DeeCellTracker, please follow the instructions below:
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If you encounter any issues or have any questions, please refer to the project's documentation or raise an issue in the GitHub repository.
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## Quick Start
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- **Important**: Please use the notebooks [here](https://github.com/WenChentao/3DeeCellTracker/tree/v1.0.0) if you installed version 1.0.0 from PyPI. If you installed from the source code available at this repository, use the notebooks provided below.
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To learn how to track cells using 3DeeCellTracker, please refer to the following notebooks for examples. We recommend using StarDist for segmentation, as we have optimized the StarDist-based tracking programs for more convenient and quick cell tracking. Users can also use the old way with 3D U-Net.
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1. Train a custom deep neural network for segmenting cells in new optical conditions:
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- [**Train 3D StarDist (notebook with results)**](Examples/use_stardist/train_stardist.ipynb)

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