ABSTRACT
Objective To compare the difference of peripheral blood leucocyte percentages in malaria patients among Sysmex‐XE5000 ,CellaVisionDM96 and manual microscope classification ,and to verify the accuracy and reliability of the Sysmex‐XE5000 automatic blood corpuscle detection instrument for detecting the leukocyte classification in blood routine .Methods The leucocyte percentages data in 82 cases of malaria detected by using the Sysmex‐XE5000 in the Shenzhen Municipal Third People′s Hospital from January 2011 to December 2015 were retrospectively collected ;the peripheral blood smear in 82 cases of malaria obtained the percentages after the classification by the CellaVisionDM 96 ;then the peripheral blood smear was performed the leucocyte classifica‐tion by the manual microscopy for calculating the percentage .Results In the pairwise comparison of percentage obtained from the peripheral blood leucocyte classification by Sysmex‐XE5000 ,CellaVisionDM96 and manual microscopy ,only the monocytes percent‐age had statistical difference between CellaVisionDM 96 and manual microscopy (P0 .05) .Conclusion By comparing the peripheral blood leucocyte percentages data in malaria patients by Sysmex‐XE5000 ,CellaVisionDM96 and manual microscopic classification ,it is indicated that the leukocyte classification data by Sysmex‐XE5000 are accurate and reliable ,malaria parasite does not affect peripheral blood leukocyte classification ,but it is necessary to pay more attention to monocytes classification in CellaVision DM 96 classification .
ABSTRACT
Objective To evaluate the performance of Sysmex XN‐9000 automated hematology analyzer .Methods According to international and domestic standards ,performance of analyzer was evaluated .Results The within‐batch and between‐batch preci‐sion ,carryover pollution rate ,linearity range and the accuracy of Sysmex XN‐9000 analyzer were all conform to related require‐ments .Leukocyte classification results compared with manual classification ,the correlation of neutrophil ,lymphocyte ,monocyte and eosinophil were fine ,but correlation of basophil was not very ideal .Conclusion The performance of Sysmex XN‐9000 analyzer could be satisfying ,could meet the needs of clinical inspection and diagnosis and treatment .
ABSTRACT
Identification and classification of white blood cells are important for clinical diagnosis.Many researchers have been seeking the effective methods for white blood cells' automatic classification based on morphological characters.After cell segmentation,leukocytes' feature acquirement and selection,this paper accomplishes white blood cells' automatic classification using Sugeno-model fuzzy neural network and compares the result with that from classifier of BP network.