A joint research team from the Chinese Academy of Sciences and Tsinghua University today announced the successful development of the world's first intelligent rapid pathogen detection microscope. By integrating artificial intelligence algorithms with super-resolution imaging technology, this device can complete automatic identification and drug sensitivity analysis of pathogens in blood, sputum, and other samples within 3 minutes, achieving an accuracy rate of 99.2%. The system is currently in clinical trials.

: Embedded deep learning models enable simultaneous detection of 12 common pathogen types, including bacteria, fungi, and viruses.

: Utilizes high-speed scanning technology, reducing single sample detection time from 24 hours to just 3 minutes.

: Analyzes pathogen morphological features to automatically recommend optimal antibiotic treatment plans.

In tests involving 5,000 respiratory infection samples:

: Can be deployed in emergency departments for instant pathogen diagnosis.

: Addresses shortages of laboratory personnel in remote areas.

: Already applied in Ebola virus screening programs in Africa.

A World Health Organization expert commented: "This technology will reshape the diagnostic process for infectious diseases, particularly benefiting developing countries."

The device is expected to receive medical device registration certification by the third quarter of 2025, with a unit price targeted at less than 50% of traditional PCR equipment.