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About

Zecong Fang is a pioneering researcher at the intersection of robotics and microfluidics, whose work is revolutionizing automated laboratory diagnostics and liquid handling. His primary research areas include robotic immunoassays, microfluidic–robotic interfaces, and cell-free synthetic biology. Fang’s most impactful contribution is the development of the "Sample-to-Answer Robotic ELISA" (2021, 39 citations), which automates the labor-intensive enzyme-linked immunosorbent assay (ELISA) process, eliminating bulky instruments and lengthy operation times for faster, more accessible diagnostics. He also invented the "Microfluidic Cap-to-Dispense (μCD)" interface (2019, 26 citations), the first pipette-free robotic–microfluidic connection, enabling high-precision, automated liquid handling without traditional pipettes—a critical advance for lab automation. Additionally, his work on "Microfluidic Printing-Based Method for the Multifactorial Study of Cell-Free Protein Networks" (2022) introduces high-throughput approaches for assembling protein networks, with applications in drug screening and artificial cell creation. With a total of 66 citations across his top papers, Fang’s innovations are shaping the future of point-of-care diagnostics and synthetic biology, making him a key figure in the drive toward fully automated, miniaturized laboratories.