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README.md
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---
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task_categories:
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- feature-extraction
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tags:
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- biology
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- medical
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pretty_name: IDRCell100k
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size_categories:
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- 100K<n<1M
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---
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# 🗾 Dataset
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The IDRCell100k dataset is a comprehensive collection of biological images, meticulously curated to represent a broad spectrum of microscopy techniques and channel configurations. It comprises 79 different experiments, utilizing 7 types of microscopy techniques, with images featuring channel counts ranging from 1 to 10. Each experiment contributes 1300 images, culminating in a total of 104,093 multiplexed images, each resized to 224x224 pixels. This dataset, unique in its diversity and scale, provides an invaluable resource for the development and validation of advanced image analysis models like ChAda-ViT, enhancing their capability to adapt to various imaging conditions and channel complexities in biological research.
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<div align="center">
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<img width="70%" alt="IDRCell100k dataset samples" src=".github/idrcell100k.png">
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</div>
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