Vaginal secretions POC analyzer RT-F2000

for infectious diseasespH

Creating a new top in gynecological morphology Open a new chapter of vaginal secretion test Support swab loading & sampling Over 90% cell recognition accuracy Support staining Test speed:90T/H Cell recognition accuracy≥90% Based on AI DeepCell engine and deep integration of intelligent perception and convolutional neural network, F2000 constantly breaks through the boundaries of the algorithm, automatically extract image features to realize intelligent segmentation, and accurate recognition, so that the accuracy of formed elements recognition exceeds 90%. Redefine high definition imaging 10 million pixel high-quality optical imaging Multi-layers dynamic focus scanning, intelligently select optimal image Patented algorithm video trichomonal recognition technology Perfect pre-processing module Support swab loading & sampling Automatic detection of sample turbidity & dilution of high concentration samples Staining module is optional Staining module is optional, which can improve the contrast between formed elements and the background for higher recognition accuracy. AI deeply integrates the machine to better capture every hidden formed element Intelligence Automation Whole process