Evaluation of cell count and classification capabilities in body fluids using a fully automated Sysmex XN equipped with high-sensitive Analysis (hsA) mode and DI-60 hematology analyzer system

• Published in: PloS one Vol. 13; no. 4; p. e0195923
• Main Authors: Takemura, Hiroyuki, Ai, Tomohiko, Kimura, Konobu, Nagasaka, Kaori, Takahashi, Toshihiro, Tsuchiya, Koji, Yang, Haeun, Konishi, Aya, Uchihashi, Kinya, Horii, Takashi, Tabe, Yoko, Ohsaka, Akimichi
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 26-04-2018; Public Library of Science (PLoS)
• Subjects: Algorithms; Analytical instruments; Automation; Biology and Life Sciences; Blood; Blood cell count; Body fluids; Cell morphology; Cell number; Cerebrospinal fluid; Classification; Coefficient of variation; Counting; Cytology; Cytometry; Diagnostic systems; Digital imaging; Flow cytometry; Fluids; Hematology; Hospitals; Laboratories; Leukocytes; Linearity; Medicine; Medicine and Health Sciences; Methods; Monocytes; Morphology; Product development; Reproducibility; Research and Analysis Methods; Stem cells; Technology assessment; University graduates; Japan
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0195923

The XN series automated hematology analyzer has been equipped with a body fluid (BF) mode to count and differentiate leukocytes in BF samples including cerebrospinal fluid (CSF). However, its diagnostic accuracy is not reliable for CSF samples with low cell concentration at the border between normal and pathologic level. To overcome this limitation, a new flow cytometry-based technology, termed "high sensitive analysis (hsA) mode," has been developed. In addition, the XN series analyzer has been equipped with the automated digital cell imaging analyzer DI-60 to classify cell morphology including normal leukocytes differential and abnormal malignant cells detection. Using various BF samples, we evaluated the performance of the XN-hsA mode and DI-60 compared to manual microscopic examination. The reproducibility of the XN-hsA mode showed good results in samples with low cell densities (coefficient of variation; % CV: 7.8% for 6 cells/μL). The linearity of the XN-hsA mode was established up to 938 cells/μL. The cell number obtained using the XN-hsA mode correlated highly with the corresponding microscopic examination. Good correlation was also observed between the DI-60 analyses and manual microscopic classification for all leukocyte types, except monocytes. In conclusion, the combined use of cell counting with the XN-hsA mode and automated morphological analyses using the DI-60 mode is potentially useful for the automated analysis of BF cells.