Microbio Corporation, Aoba-ku, Sendai, Miyagi, Japan.
J Microbiol Methods. 2012 Dec;91(3):420-8. doi: 10.1016/j.mimet.2012.09.028. Epub 2012 Oct 22.
Microbial colonies in food matrices could be counted accurately by a novel noise-free method based on time-lapse shadow image analysis. An agar plate containing many clusters of microbial colonies and/or meat fragments was trans-illuminated to project their 2-dimensional (2D) shadow images on a color CCD camera. The 2D shadow images of every cluster distributed within a 3-mm thick agar layer were captured in focus simultaneously by means of a multiple focusing system, and were then converted to 3-dimensional (3D) shadow images. By time-lapse analysis of the 3D shadow images, it was determined whether each cluster comprised single or multiple colonies or a meat fragment. The analytical precision was high enough to be able to distinguish a microbial colony from a meat fragment, to recognize an oval image as two colonies contacting each other, and to detect microbial colonies hidden under a food fragment. The detection of hidden colonies is its outstanding performance in comparison with other systems. The present system attained accuracy for counting fewer than 5 colonies and is therefore of practical importance.
基于延时阴影图像分析的无噪声新方法可准确计数食品基质中的微生物菌落。将含有许多微生物菌落和/或肉碎片簇的琼脂平板透照，将其二维（2D）阴影图像投影到彩色 CCD 相机上。通过多重聚焦系统，同时聚焦在 3 毫米厚的琼脂层内分布的每个菌落的 2D 阴影图像，然后转换为三维（3D）阴影图像。通过对 3D 阴影图像的延时分析，可以确定每个簇是由单个或多个菌落还是肉碎片组成。分析精度足以将微生物菌落与肉碎片区分开来，将椭圆形图像识别为两个相互接触的菌落，并检测隐藏在食物碎片下的微生物菌落。与其他系统相比，检测隐藏的菌落是其突出的性能。本系统的检测下限达到 5 个以下的菌落，因此具有实际意义。
