Due to the existence of multiple dimensional representations such as 1D, 2D, and 3D for microscopic particles, MicroAI inherently possesses multimodal properties. Furthermore, recent research efforts have been exploring the use of microscopic structures as a visual modality and establishing their relationship with natural language. Tasks such as Visual Captioning, Visual Question Answering, and Visual Dialog, which were previously applied in the context of vision, are now being introduced into MicroAI . In particular, Large Language Models (LLMs), with their powerful reasoning capabilities, have begun to be used for understanding microscopic data.