MicroVQA addresses the critical gap between existing AI benchmarks and the complex reasoning required for real scientific discovery in biology.

• Research-level complexity: Targets sophisticated multimodal reasoning beyond current college-level benchmarks
• Biology-focused: Curated by domain experts across multiple microscopy modalities
• Challenging evaluation: Provides a rigorous test for multimodal large language models (MLLMs) in scientific contexts
• Practical application: Accelerates AI-assisted discovery in biological and medical research

This innovation has significant implications for advancing AI tools that can meaningfully contribute to biological research, potentially accelerating scientific discovery through improved visual reasoning capabilities.

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research