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光学前向散射在临床自动化分析中对细菌鉴定的应用。

On the application of optical forward-scattering to bacterial identification in an automated clinical analysis perspective.

机构信息

Department of Information Engineering, University of Brescia, Via Branze 38, I-25133 Brescia, Italy.

Department of Information Engineering, University of Brescia, Via Branze 38, I-25133 Brescia, Italy.

出版信息

Biosens Bioelectron. 2015 Jun 15;68:536-543. doi: 10.1016/j.bios.2015.01.047. Epub 2015 Jan 22.

Abstract

The Optical Forward Scattering (OFS) technique can be used to identify pathogens by direct observation of bacteria colonies growing on a culture plate. The identification is based on the acquisition of scattering images from isolated colonies and their subsequent comparison with reference images acquired from known bacteria. The technique has been mainly studied for the identification of pathogens in the food-safety field. This paper focuses on the possibility of extending the applicability of the technique to the field of clinical laboratory automation. This scenario requires that the paradigm of image acquisition at fixed colony-dimension, well established in the food-safety applications, should be substituted by an acquisition at fixed incubation time. As a consequence, the scatterometer must be adjustable in real-time for adapting to the actual features of the bacterial colony. The paper describes an OFS system prototype qualified by the possibility to tune both the laser beam diameter and the acquisition camera field of view. Preliminary experiments on bacteria cultures from pathogens causing infections of the urinary tract show that the proposed approach is promising for the development of an automated bacteria identification station. The new OFS approach also involves an alternative method for building a reference image database for subsequent image analysis.

摘要

光学前向散射 (OFS) 技术可用于通过直接观察培养板上生长的细菌菌落来识别病原体。这种识别方法是基于从分离的菌落获取散射图像,并将其与从已知细菌获得的参考图像进行后续比较。该技术主要用于食品安全领域中病原体的识别。本文重点研究了将该技术的应用扩展到临床实验室自动化领域的可能性。这种情况要求在食品安全应用中已经确立的固定菌落尺寸的图像采集范式被固定孵育时间的采集所取代。因此,散射计必须能够实时调整,以适应细菌菌落的实际特征。本文描述了一个 OFS 系统原型,该原型具有调整激光束直径和采集相机视场的功能。对引起尿路感染的病原体的细菌培养物进行的初步实验表明,该方法有望开发出一种自动化细菌识别站。新的 OFS 方法还涉及用于构建后续图像分析的参考图像数据库的替代方法。

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