이현규 (Hugh Q Lee)

AI · Bio · Embedded · Robotics Engineer

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Projects

2 / 2

  1. Automation in Microinjection for Zebrafish Pericardiac Space with image-based motion control and batch agarose microplate [ " ]

    This project automates pericardial-space microinjection through image-based motion control and a batch agarose microplate. It integrates YOLO-based anatomical landmark detection and robotic arm trajectory control for precise injection. The system underpins our PLOS ONE manuscript and establishes a foundation for scalable xenograft assays in zebrafish high-throughput screening (HTS).

    Optics, Fluorescence, Microscopy, Object Detection, Pose Estimation, NVIDIA Jetson, Zebrafish

  2. Automated Zebrafish Feeding, Digestion, and Locomotion System via FL/IR Imaging

    This system integrates dual-mode imaging—infrared (IR) and fluorescence (FL)—to automatically analyze both locomotor activity and feeding-related digestive processes in zebrafish larvae. IR imaging is used to detect movement through object detection, enabling trajectory tracking and velocity calculation. FL imaging quantifies ingestion and digestion by measuring changes in the fluorescent signal area from labeled paramecia. The platform is optimized for synchronized acquisition, processing, and visualization using custom software.

    Optics, Fluorescence, Object Detection, Zebrafish

  3. Robotic Zebrafish Larva Pipetting and Rotational 3D Imaging Platform

    This platform combines a robotic arm–based pipetting system with a rotational imaging setup to enable automated 3D visualization of zebrafish larvae. After aspirating individual larvae into a pipetting tube, the system rotates the tube to capture multi-angle images suitable for 3D reconstruction. The robotic arm and Jetson-based imaging module enable stable, hands-free larval loading, alignment, and rotational imaging, providing high-quality inputs for volumetric analysis.