Miklos Kozlovszky
Papers
3
Total Citations
13
H-Index
3
About
Miklos Kozlovszky is a leading researcher at the intersection of robotics, computer vision, and digital pathology, pioneering the automation of laboratory workflows. His key contributions focus on replacing manual laboratory tasks with precise, robotic solutions to enhance speed and accuracy in clinical settings. Kozlovszky’s most impactful work, "Robot Instead of Laboratory Technicians" (2022, 6 citations), introduces a fully automated system for slide holder detection and 3D positioning, streamlining the transition from coverslipping to digital scanning. He further advanced this with "Transparent Slide Detection and Gripper Design" (2022, 4 citations), developing robust pick-and-place automation for transparent slides, and "Calibration of Robotic Arm for Workstation Installation" (2023, 3 citations), which compares manual, mechanic, and automatic calibration methods to ensure seamless deployment in changing environments. Collectively, his research demonstrates a clear trajectory toward creating reliable "digital laboratory technicians," significantly impacting the efficiency of digital pathology. Kozlovszky’s work not only addresses critical bottlenecks in lab automation but also sets a foundation for scalable, intelligent robotic systems in healthcare.
Research Focus
Key Achievements
Top Papers
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