
HoloZcan develops a novel holographic microscopy and imaging technology combined with AI and machine learning for rapid, cost-efficient screening of biological threats and dangerous substances. The project targets security actors such as police, relief workers, and disaster managers, aiming to enhance bio-detection capabilities. It focuses on developing a high-resolution, high-throughput, automatic, and portable detection system for classifying pathogens and particles, thereby increasing the sensing and measurement capability of CBRN practitioners. The technology also supports adaptive learning and database optimization for bioinformatic applications, and develops innovative biological data sampling methods for real-time detection.

HoloZcan develops a novel holographic microscopy and imaging technology combined with AI and machine learning for rapid, cost-efficient screening of biological threats and dangerous substances. The project targets security actors such as police, relief workers, and disaster managers, aiming to enhance bio-detection capabilities. It focuses on developing a high-resolution, high-throughput, automatic, and portable detection system for classifying pathogens and particles, thereby increasing the sensing and measurement capability of CBRN practitioners. The technology also supports adaptive learning and database optimization for bioinformatic applications, and develops innovative biological data sampling methods for real-time detection.