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首页> 外文期刊>Journal of Clinical Microbiology >Automated Scoring of Chromogenic Media for Detection of Methicillin-Resistant Staphylococcus aureus by Use of WASPLab Image Analysis Software
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Automated Scoring of Chromogenic Media for Detection of Methicillin-Resistant Staphylococcus aureus by Use of WASPLab Image Analysis Software

机译：使用WASPLab图像分析软件对生色培养基进行自动评分以检测耐甲氧西林金黄色葡萄球菌

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Recently, systems have been developed to create total laboratory automation for clinical microbiology. These systems allow for the automation of specimen processing, specimen incubation, and imaging of bacterial growth. In this study, we used the WASPLab to validate software that discriminates and segregates positive and negative chromogenic methicillin-resistant Staphylococcus aureus (MRSA) plates by recognition of pigmented colonies. A total of 57,690 swabs submitted for MRSA screening were enrolled in the study. Four sites enrolled specimens following their standard of care. Chromogenic agar used at these sites included MRSASelect (Bio-Rad Laboratories, Redmond, WA), chromID MRSA (bioMérieux, Marcy l'Etoile, France), and CHROMagar MRSA (BD Diagnostics, Sparks, MD). Specimens were plated and incubated using the WASPLab. The digital camera took images at 0 and 16 to 24 h and the WASPLab software determined the presence of positive colonies based on a hue, saturation, and value (HSV) score. If the HSV score fell within a defined threshold, the plate was called positive. The performance of the digital analysis was compared to manual reading. Overall, the digital software had a sensitivity of 100% and a specificity of 90.7% with the specificity ranging between 90.0 and 96.0 across all sites. The results were similar using the three different agars with a sensitivity of 100% and specificity ranging between 90.7 and 92.4%. These data demonstrate that automated digital analysis can be used to accurately sort positive from negative chromogenic agar cultures regardless of the pigmentation produced.
机译：近来，已经开发出用于创建临床微生物学的全部实验室自动化的系统。这些系统可实现标本处理，标本孵育和细菌生长成像的自动化。在这项研究中，我们使用WASPLab来验证软件，该软件可通过识别有色菌落来区分和分离阳性和阴性生色耐甲氧西林金黄色葡萄球菌（MRSA）板。共有57,690个棉签提交了MRSA筛选研究。按照其护理标准，有四个地点登记了标本。这些地点使用的生色琼脂包括MRSASelect（华盛顿州雷德蒙市的Bio-Rad实验室），chromID MRSA（法国Marcy l'Etoile的bioMérieux）和CHROMagar MRSA（BD诊断，Sparks，马里兰州）。将标本铺板并使用WASPLab孵育。数码相机在0和16至24 h拍摄图像，WASPLab软件根据色相，饱和度和值（HSV）分数确定阳性菌落的存在。如果HSV分数落在定义的阈值内，则该板称为阳性。将数字分析的性能与手动阅读进行了比较。总体而言，该数字软件在所有站点上的敏感性为100％，特异性为90.7％，特异性范围为90.0至96.0。使用三种不同的琼脂得到的结果相似，灵敏度为100％，特异性在90.7和92.4％之间。这些数据表明，无论产生何种色素沉着，自动数字分析都可用于从阴性生色琼脂培养物中准确地分出阳性。

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