1 Technical Background

Over the past three years, while the world's attention has been focused on COVID-19, another ancient infectious disease has made a comeback in our neglect. The World Health Organization's recently released Global TB Report 2022 shows that the number of new TB cases, drug-resistant TB cases and TB deaths all rose in 2021 compared with previous years.

Tuberculosis (TB) is also one of the major infectious diseases under control in China, with an estimated 842,000 new cases occurring every year. The traditional sputum smear microscopy technique is one of the four gold standards in the diagnosis of pulmonary tuberculosis. It is widely used because of its simple operation and low cost. Traditional manual smear microscopy, due to heavy labor intensity and excessive concentration, has seriously affected the vision and physical and mental health of the scanning doctors, it is urgent to replace the manual microscopic examination with an automatic, standardized and intelligent scanning technology.
Zhengzhou Zhongpu Medical Equipment Co., LTD., founded in 2010, is a high-tech enterprise focusing on the research and development of tuberculosis smear diagnostic products. The company has a number of national invention patents of tuberculosis smear diagnostic technology, and is one of the enterprises with the most complete and advanced technology of tuberculosis smear and intelligent scanning products in China. Automatic tuberculosis smear intelligent scanning scanner is a new generation of tuberculosis smear intelligent scanning diagnostic equipment independently built by Zhengzhou Zhongpu after 4 years. It has the characteristics of fast scanning speed, high accuracy, high smear rate and upgrading of original machine. The product has become a "star product" in the industry since its launch, attracting wide attention for its ultra-fast scanning speed (up to 15s) and 99.9% positive bacteria identification rate. So, Zhengzhou Zhongpu tuberculosis smear intelligent reading scanner is how to do? How does it speed up? The following is your interpretation --

2 Existing achievements

The development and improvement of technology has never stopped

Manual Smear Zieh-Nyi staining method (300 oil mirror fields)

Scanning time ≤70 seconds;

Thickening machine Smear Zieh-Nyi staining method (300 oil mirror fields)

Scanning time ≤60 seconds;

Hand smear fluorescent staining method (50 fields)

Scanning time ≤60 seconds;

Concentrated polymachine smear fluorescent staining method (50 fields)

Scanning time ≤56 seconds.

Practical application 1: Scan 1000 visual fields, only 3 minutes ± complete; Set according to the number of bacteria, the fastest 15s can be completed;

Practical application 2: medical (sputum smear) detection institutions with a daily detection volume of 300 people, only 300 minutes ± all can be detected.

3 Deep interpretation

Acceleration method

Speed up method 1: intelligent scanning technology

In order to overcome the problem of single objective scanning speed and false negative rate, we proposed for the first time the technology that the instrument would automatically switch to the higher magnification objective for accurate positioning and secondary confirmation of scanning results after the target was quickly discovered under the lower magnification and larger field of view, so as to eliminate the occurrence of false negative rate under the lower magnification. Realize the combination of high speed scanning and precision!

Speed up method 2: by the number of bacteria scanning technology

In order to overcome the defects of low efficiency of traditional tuberculosis scanning, we put forward the intelligent scanning technology of "according to the number of bacteria strips" for the first time. The instrument only needs to reach the set number of bacteria strips to complete the scanning, which greatly improves the efficiency of tuberculosis smear reading, and also gives consideration to the positive rate of tuberculosis smear reading!

Speed up Method 3: AI is Smarter

For the first time, we proposed a patented technology model for the full recognition of four categories under various conditions of tuberculosis, and added artificial intelligence (AI) technology (deep learning algorithm recognition based on neural network technology), which effectively solved the "embarrassment" and misdiagnosis accident of "not knowing" tuberculosis. At the same time to find that recognition, recognition that knowledge, more accurate and efficient identification of tuberculosis bacteria!

Speed up method 4: do not pick a piece do not jump

Whether for a variety of uneven thickness of manual smears, or ultra-thin liquid based sandwich cup method of automatic smears, the instrument is competent!

Speed up method 5: Fully automated operation

Just put the stained smear into the slide rack, and the system will automatically identify the smear area, identify the thickness of the smear, accurately focus, intelligently identify the TB bacteria in the scan area, and provide an illustrated diagnostic report.

There is still a long way to go to achieve the TB target of "reducing incidence by 90% between 2015 and 2035" in the World Health Organization's End TB Strategy. Rapid TB testing is of great significance for clinical TB diagnosis and epidemic TB screening.

——Zhengzhou Zhongpu focus on sputum screening and detection of tuberculosis——

Zhengzhou Zhongpu focus on tuberculosis sputum screening detection, R & D team unremitting efforts, again and again to refresh the record, constantly beyond, this technological innovation, greatly shorten the time of tuberculosis detection, improve the efficiency of medical testing units of tuberculosis detection, to ensure the accuracy of the test results. With intangible value to create countless value, Zhengzhou Zhongpu escort for human health!

Zhengzhou Zhongpu automatic tuberculosis smear intelligent reading scanner is not only fast, accuracy is also higher, the next time for you to read: recognition rate up to 99.9% - tuberculosis smear intelligent reading scanner accurate interpretation! Stay tuned at @

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