Update README.md

README.md

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-# 🔬 ViTAMIn-O: Vision-based Tools for Automated Microscopy in Organoids
+# ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research 
 
-Welcome to the official model hub for **ViTAMIn-O**. This organization serves as an open-science database for customized, vision-based deep learning models specifically trained for organoid classification, prediction, and concept discovery.
+Welcome to the official model hub for **ViTAMIn-O**. This organization serves as an open-science database for customized, vision-based deep learning models specifically trained for organoid cross-sectional classification, longitudinal prediction, downstream model evaluation, and concept discovery.
 
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1cpPTiMLglTXw759Z59Fd3HQCoE7qnvL5?usp=sharing)
+ColabViTAMIn-O [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1cpPTiMLglTXw759Z59Fd3HQCoE7qnvL5?usp=sharing)
 
-## 📖 About the Framework
-ViTAMIn-O is a code-free, Colab-based infrastructure designed to democratize deep learning for biological researchers. Without prior coding experience, researchers can seamlessly upload imaging datasets, fine-tune state-of-the-art vision foundation models (like Swin and DINOv2), and discover novel biological concepts using our OrgACE pipeline.
+## About ColabViTAMIn-O
+ViTAMIn-O is a code-free, Colab-based infrastructure designed to encourage wet-lab scientists to use deep learning in their workflows. Without prior coding experience, researchers can seamlessly upload imaging datasets, fine-tune state-of-the-art vision foundation models, and discover morphologically-grounded concepts using the OrgACE pipeline.
 
-## 🗂️ The Model Database
-This hub hosts models trained by the community. You can explore the models via our **Collections**, which categorize models by organoid type (e.g., Ductal, Intestinal, Cerebral) and task (Linear Probing vs. Fine-Tuning).
+## The ViTAMIn-O Model Hub
+This hub hosts models trained by the community. You can explore the models via our **Collections**, which categorize models by organoid type (e.g., Ductal, Intestinal, Cerebral).
 
 ### How to Contribute
-We encourage researchers to share their specialized models! 
-1. Open the [ViTAMIn-O Colab Dashboard](YOUR_COLAB_LINK_HERE).
+We encourage motivated researchers to share their specialized models.
+A quick guide:
+
+1. Open the [ViTAMIn-O Colab Dashboard](https://colab.research.google.com/drive/1cpPTiMLglTXw759Z59Fd3HQCoE7qnvL5?usp=sharing).
 2. Train your custom model using your dataset.
-3. Check the **"Upload to Hugging Face"** box in the UI.
-4. Input your personal HF Token and the target Repo Name.
-5. Once your model is on your personal profile, request to add it to one of our Collections!
+3. Check the **"Upload to Hugging Face"** box under 2. Task Settings.
+4. Input your personal HF token and the target Repo name.
+5. Once your model is on your personal profile, request to add it to one of our collections, we will catch up within 48 hours!
 
-## 📝 Citation
-If you use the ViTAMIn-O framework or any models hosted in this hub, please cite our paper:
-> *[Author Names], "ViTAMIn-O: [Full Paper Title]," [Journal Name], 2026. [DOI Link]*
+## Important
+If you use the ViTAMIn-O framework or any shared models hosted in this hub, please cite the corresponding paper where available.