Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis

<b>Background</b>: Cerebrospinal fluid (CSF) analysis is essential for diagnosing various disorders affecting the central nervous system (CNS). Traditionally, CSF cell count analysis is performed manually using a Neubauer chamber hemocytometer, which is labor-intensive and prone to subjective interpretation. <b>Methods</b>: In this study, we evaluated the analytical and clinical performance of the Microscanner C3, an automated cell counting system, for CSF analysis using artificially prepared samples and 150 clinical CSF samples. <b>Results:</b> The lowest detectable white blood cell (WBC) count was 3.33 cells/µL, and the lowest detectable red blood cell (RBC) count was 3.67 cells/µL. The coefficients of variation (CV%) for the Microscanner C3 were lower than those for the Neubauer chamber at all cell concentrations. The correlation coefficients (R) between the Microscanner C3 and conventional methods were high: 0.9377 for WBCs and 0.9952 for RBCs when compared with the Neubauer chamber, and 0.8782 for WBCs and 0.9759 for RBCs when compared with the flow cytometer. Additionally, the Microscanner C3 showed good agreement with both the Neubauer chamber and flow cytometer in the Passing-Bablok regression analysis and Bland-Altman analysis for WBC count at all concentrations and RBC count at concentrations of 0-1000 cells/µL. <b>Conclusions</b>: The Microscanner C3 proved to be more sensitive, precise, and consistent compared to the conventional hemocytometer. The new system is also compact, convenient, and cost-effective, making it a valuable option for clinical laboratories.

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Publication Details

Journal
Diagnostics
Published
2024-10-05
DOI
https://doi.org/10.3390/diagnostics14192224
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.70

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article

Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis

Seoyeon Park, Minkyeong Choi, Chae Seung Lim, I. H. Park et al.
3 citations
Diagnostics
Single-cell and spatial transcriptomics
0.70
article

Evaluation of the Microscanner C3 for Automated Cell Counting in Cerebrospinal Fluid Analysis

Seoyeon Park, Minkyeong Choi, Chae Seung Lim, I. H. Park, Woong Sik Jang, Sun-Young Ko, Eunji Lee
article en
3 citations

Abstract

<b>Background</b>: Cerebrospinal fluid (CSF) analysis is essential for diagnosing various disorders affecting the central nervous system (CNS). Traditionally, CSF cell count analysis is performed manually using a Neubauer chamber hemocytometer, which is labor-intensive and prone to subjective interpretation. <b>Methods</b>: In this study, we evaluated the analytical and clinical performance of the Microscanner C3, an automated cell counting system, for CSF analysis using artificially prepared samples and 150 clinical CSF samples. <b>Results:</b> The lowest detectable white blood cell (WBC) count was 3.33 cells/µL, and the lowest detectable red blood cell (RBC) count was 3.67 cells/µL. The coefficients of variation (CV%) for the Microscanner C3 were lower than those for the Neubauer chamber at all cell concentrations. The correlation coefficients (R) between the Microscanner C3 and conventional methods were high: 0.9377 for WBCs and 0.9952 for RBCs when compared with the Neubauer chamber, and 0.8782 for WBCs and 0.9759 for RBCs when compared with the flow cytometer. Additionally, the Microscanner C3 showed good agreement with both the Neubauer chamber and flow cytometer in the Passing-Bablok regression analysis and Bland-Altman analysis for WBC count at all concentrations and RBC count at concentrations of 0-1000 cells/µL. <b>Conclusions</b>: The Microscanner C3 proved to be more sensitive, precise, and consistent compared to the conventional hemocytometer. The new system is also compact, convenient, and cost-effective, making it a valuable option for clinical laboratories.

DiagnosticsVol. 14(19)
Korea University (KR), Korea University Medical Center (KR), Ansan University (KR)
Korea University Guro Hospital, Korea Medical Device Development Fund, Korea University, Ministry of Trade, Industry and Energy, Ministry of Food and Drug Safety, Korea Health Industry Development Institute, Ministry of Science and ICT, South Korea
Decent work and economic growth
Openalex Percentile: Top 29%
Single-cell and spatial transcriptomics
0.70
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