Prof. Moeto NAGAI has focused his expertise on BioMEMS and is a collaborator of Prof. Tuhin Santra. BioMEMS provides a method for manipulating biological objects, such as cells and DNA. The automatic detection of t hese micro-objects can efficiently clarify their properties and responses, enabling the screening and identification of target objects. However, the detection of these micro-objects has been a challenging task often manually handled by experimental researchers for many years, demanding significant effort and limiting the number of detections. This is where AI can help. Recently, NAGAI's group's research has focused on leveraging neural networks to enhance the identification and localization of microscopic objects in BioMEMS. After collecting a dataset under microscopy, deep learning algorithms such as YOLO and Faster R-CNN were applied, achieving high-quality object detection. These studies will contribute to the development of image cytometry and automated screening systems based on a microscope.