Wuhan Landing independently developed a fully automatic digital pathology cell analyzer: tens of millions of dollars in financing
Recently, Dr. Sun Xiaorong of Wuhan Landing Medical High-Tech Co., Ltd. officially confirmed that it has completed the tens of millions of financing led by Xianyu Capital, the original shareholder of Daoyi Investment and Fenyi Capital. According to the official website news, Wuhan Landing was established in 2000, is a science and technology company focusing on cytopathic artificial intelligence production, research and clinical services. Although cytological diagnosis has the advantages of simple method and no trauma, it plays an important role in clinical tumor diagnosis. It is also the first choice for national and internal cervical cancer screening. However, due to the limitations of microscope magnification and human cytological diagnosis, foreign countries have foreign countries. The problems of quality control and standardization of cytological diagnosis have not been solved so far. Over the years, through professional cytology training and the establishment of professional quality control system, and with legislation, to achieve the purpose of controlling and reducing the error of clinical cytology diagnosis and cytology anti-cancer screening work. In China, for decades, China has classified cytology into clinical laboratory-assisted diagnosis, which is completed by technicians. On the one hand, it lacks cytology professional training and standard quality control. On the other hand, it faces increasing domestic clinical practice. The need for services and cancer anti-cancer screening, using automated techniques to solve the quality of cytological diagnosis, is considered to be a large error, and the plight of doctors lacking a large number of cell cases has also become an inspection requirement. The fully automated digital (remote) pathology cell analyzer independently developed by Wuhan Landing has successfully broken through the limitations of the diagnostic experience of microscopes and humans, and artificial intelligence has been used to allow the machine to learn cancer cells from millions of samples provided. The identification of precancerous lesion cells and normal cell samples enables them to accurately identify normal cervical cells and cancer cells, and has the ability to continue learning. It is more subjective, less sensitive, and more efficient than traditional manual diagnosis. Low, lack of quality control, accurate and quantitative objective detection, making testing automated, intelligent, standardized, and networked. Currently in foreign countries, although there are similar technologies, they are mostly used for research. The American Thinprep system is a fully automated cell diagnostic system, but it simply selects suspicious cells that are then diagnosed by a cytologist. Domestic similar products are mostly manual cell image analysis systems, lacking standard quality control. Wuhan Lanting Cell DNA Automatic Detection Analyzer (Type II) can comprehensively and intelligently analyze 132 parameters of the nucleus in the specimen, classify all the cells recorded by the scan, and calculate the DNA ploidy changes of the nucleus to determine whether there is any The diseased cells and their proportions, based on this, found precancerous lesions or early cancer. At the same time, it is also able to memorize the location of the cells, so that the doctor can re-position each cell through the control software to perform manual microscopic review, which increases the accuracy of diagnosis, and realizes the registration, production, staining, scanning, diagnosis, and reporting from the specimen. Full process management for quality tracking and remote technical support.
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