# BioImage.IO Chatbot: A Community-Driven AI Assistant for Integrative Computational Bioimaging

arXiv: https://arxiv.org/abs/2310.18351 · HTML: https://mlsanity.com/paper/2310.18351/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 22 references that are in the map.
- First posted on arXiv 23 Oct 2023.

## Builds on (most cited first, 6 of 6)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [GPT-4 Technical Report](https://mlsanity.com/paper/2303.08774/) (2023)
- [Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks](https://mlsanity.com/paper/2005.11401/) (2020)
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://mlsanity.com/paper/2210.03629/) (2022)
- [Multimodal Foundation Models: From Specialists to General-Purpose Assistants](https://mlsanity.com/paper/2309.10020/) (2023)
- [ImJoy: an open-source computational platform for the deep learning era](https://mlsanity.com/paper/1905.13105/) (2019)

## Built on by (most cited first, 6 of 6)

- [PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping](https://mlsanity.com/paper/2504.19818/) (2025)
- [GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents](https://mlsanity.com/paper/2510.13896/) (2025)
- [Leveraging Multi-Agent System (MAS) and Fine-Tuned Small Language Models (SLMs) for Automated Telecom Network Troubleshooting](https://mlsanity.com/paper/2511.00651/) (2025)
- [Agentic-J: An AI Agent for Biological Microscopy Image Analysis](https://mlsanity.com/paper/2606.02080/) (2026)
- [MorphoOrgaAgent: A Foundation-Model-Based Multi-Agent System for Autonomous Organoid Analysis](https://mlsanity.com/paper/2609.08696/) (2026)
- [BIABench: Evaluating AI agents on real-world bioimage analysis tasks](https://mlsanity.com/paper/2609.34274/) (2026)

## Abstract (arXiv)

We present the BioImage.IO Chatbot, an AI assistant powered by Large Language Models and supported by a community-driven knowledge base and toolset. This chatbot is designed to cater to a wide range of user needs through a flexible extension mechanism that spans from information retrieval to AI-enhanced analysis and microscopy control. Embracing open-source principles, the chatbot is designed to evolve through community contributions. By simplifying navigation through the intricate bioimaging landscape, the BioImage.IO Chatbot empowers life sciences to progress by leveraging the collective expertise and innovation of its users.