通过数字显微镜系统 DM96 对体液中的细胞进行自动形态学分析。

Automated morphological analysis of cells in body fluids by the digital microscopy system DM96.

机构信息

Geïntegreerd Klinisch Chemisch Laboratorium, Albert Schweitzer Hospital, Dordrecht, The Netherlands.

出版信息

J Clin Pathol. 2010 Jun;63(6):538-43. doi: 10.1136/jcp.2009.072975.

DOI:10.1136/jcp.2009.072975

PMID:20498027

Abstract

BACKGROUND

Differential counting and morphological analysis of nucleated cells in body fluids (eg, cerebrospinal fluid and pleural fluid) are of great diagnostic importance to the clinician. A recent development in this field was the introduction of an application for an automated microscopy system, the DM96 Body Fluid module, enabling the automated analysis of body fluid samples. This computerised system provides an automated morphological analysis of body fluids, including an automated classification of all nucleated cells.

AIMS

To investigate the ability of the digital microscopy system, DM96, to automatically classify cells in different types of body fluids.

METHODS

A total of 177 body fluids (including cerebrospinal fluid, abdominal fluid and continuous ambulant peritoneal dialysis fluid) were analysed on the DM96, and results were compared with the manual microscopy method.

RESULTS

A study in 177 samples demonstrates an overall preclassification accuracy of 90% in spinal fluid and 83% in other body fluids using the automated system. Correlation coefficients for postclassification as compared with manual review range from 0.92 to 0.99 for spinal fluid sample analyses and from 0.83 to 0.98 for other body fluids. The within-run variation of automated classification is less than 6% for all cell categories (4% excluding macrophages).

CONCLUSION

The DM96 has proven to be reliable and efficient, contributing to overall quality improvement in morphological analysis and automated cell classification of peripheral blood and other body-fluid samples.

摘要

背景

对临床医生而言，对体液（如脑脊液和胸腔积液）中的有核细胞进行差异计数和形态分析具有重要的诊断意义。该领域的最新进展是引入了一种自动化显微镜系统应用，即 DM96 体液模块，能够自动分析体液样本。该计算机化系统提供了对体液的自动形态分析，包括对所有有核细胞的自动分类。

目的

研究数字显微镜系统 DM96 自动对不同类型体液中的细胞进行分类的能力。

方法

对 177 种体液（包括脑脊液、腹腔液和持续流动腹膜透析液）进行了 DM96 分析，并将结果与手工显微镜方法进行了比较。

结果

在 177 份样本的研究中，使用自动化系统在脑脊液中的总体预分类准确率为 90%，在其他体液中的准确率为 83%。与手动复查相比，后分类的相关系数范围为 0.92 至 0.99，适用于脑脊液样本分析，范围为 0.83 至 0.98，适用于其他体液。对于所有细胞类别（不包括巨噬细胞的 4%），自动分类的日内变异小于 6%。