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一种用于血液有形成分可视化、计数和特征分析的新型基于玻片的自动化技术:概念验证研究。

A Novel Automated Slide-Based Technology for Visualization, Counting, and Characterization of the Formed Elements of Blood: A Proof of Concept Study.

作者信息

Winkelman James W, Tanasijevic Milenko J, Zahniser David J

机构信息

From the Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts (Drs Winkelman and Tanasijevic); and Roche Diagnostics Hematology, Boston (Dr Zahniser).

出版信息

Arch Pathol Lab Med. 2017 Aug;141(8):1107-1112. doi: 10.5858/arpa.2016-0633-OA. Epub 2017 Apr 19.

Abstract

CONTEXT

  • A novel automated slide-based approach to the complete blood count and white blood cell differential count is introduced.

OBJECTIVE

  • To present proof of concept for an image-based approach to complete blood count, based on a new slide preparation technique. A preliminary data comparison with the current flow-based technology is shown.

DESIGN

  • A prototype instrument uses a proprietary method and technology to deposit a precise volume of undiluted peripheral whole blood in a monolayer onto a glass microscope slide so that every cell can be distinguished, counted, and imaged. The slide is stained, and then multispectral image analysis is used to measure the complete blood count parameters. Images from a 600-cell white blood cell differential count, as well as 5000 red blood cells and a variable number of platelets, that are present in 600 high-power fields are made available for a technologist to view on a computer screen. An initial comparison of the basic complete blood count parameters was performed, comparing 1857 specimens on both the new instrument and a flow-based hematology analyzer.

RESULTS

  • Excellent correlations were obtained between the prototype instrument and a flow-based system. The primary parameters of white blood cell, red blood cell, and platelet counts resulted in correlation coefficients (r) of 0.99, 0.99, and 0.98, respectively. Other indices included hemoglobin (r = 0.99), hematocrit (r = 0.99), mean cellular volume (r = 0.90), mean corpuscular hemoglobin (r = 0.97), and mean platelet volume (r = 0.87). For the automated white blood cell differential counts, r values were calculated for neutrophils (r = 0.98), lymphocytes (r = 0.97), monocytes (r = 0.76), eosinophils (r = 0.96), and basophils (r = 0.63).

CONCLUSIONS

  • Quantitative results for components of the complete blood count and automated white blood cell differential count can be developed by image analysis of a monolayer preparation of a known volume of peripheral blood.
摘要

背景

介绍了一种基于载玻片的新型全血细胞计数和白细胞分类计数自动化方法。

目的

基于一种新的载玻片制备技术,展示基于图像的全血细胞计数方法的概念验证。展示了与当前基于流式细胞术的技术的初步数据比较。

设计

一种原型仪器使用专有方法和技术,将精确体积的未稀释外周全血单层沉积在玻璃显微镜载玻片上,以便每个细胞都能被区分、计数和成像。对载玻片进行染色,然后使用多光谱图像分析来测量全血细胞计数参数。来自600个高倍视野中存在的600个白细胞分类计数以及5000个红细胞和可变数量血小板的图像可供技术人员在计算机屏幕上查看。对1857份标本在新仪器和基于流式细胞术的血液分析仪上进行了基本全血细胞计数参数的初步比较。

结果

原型仪器与基于流式细胞术的系统之间获得了极好的相关性。白细胞、红细胞和血小板计数的主要参数的相关系数(r)分别为0.99、0.99和0.98。其他指标包括血红蛋白(r = 0.99)、血细胞比容(r = 0.99)、平均细胞体积(r = 0.90)、平均红细胞血红蛋白含量(r = 0.97)和平均血小板体积(r = 0.87)。对于自动白细胞分类计数,计算了中性粒细胞(r = 0.98)、淋巴细胞(r = 0.97)、单核细胞(r = 0.76)、嗜酸性粒细胞(r = 0.96)和嗜碱性粒细胞(r = 0.63)的r值。

结论

通过对已知体积外周血单层制备物进行图像分析,可以得出全血细胞计数和自动白细胞分类计数各成分的定量结果。

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