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About

Huiying Gong is a pioneering researcher in robotic micromanipulation for biomedical applications, with a primary focus on automated cell manipulation and patch-clamp electrophysiology. Her work addresses critical challenges in cellular-level operations, including automatic cell rotation for sub-cellular micromanipulations, precise cell aspiration and positioning, and robotic patch clamping for studying ion-channel biophysics. Gong’s major contributions include developing real-time detection and tracking systems for automatic cell rotation (28 citations), a robotic patch-clamp method using noninvasive 3-D cell morphology measurement to improve gigaseal formation success rates (16 citations), and a dynamic model-based system for precise cell aspiration and positioning (15 citations). She has also advanced zebrafish larvae microinjection through 3D positioning (9 citations) and automated shear adhesion force measurement for batch-adherent cells (6 citations). Notably, her work on robotic brain-slice patch clamps (7 citations) and multi-brain-region signal measurement (6 citations) represents significant steps toward automating the “gold standard” electrophysiological technique, reducing reliance on experimenter experience. Gong’s innovative integration of deep reinforcement learning for cell rotation (2023) further demonstrates her commitment to intelligent, minimally invasive cellular manipulation, making her a leading figure in the field of biomedical robotics.