Applied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Basic Medical Science, College of Veterinary Medicine, Purdue University, West Lafayette, IN 47907, USA.
Sensors (Basel). 2022 Mar 30;22(7):2646. doi: 10.3390/s22072646.
We present a smartphone-based bacterial colony phenotyping instrument using a reflective elastic light scattering (ELS) pattern and the resolving power of the new instrument. The reflectance-type device can acquire ELS patterns of colonies on highly opaque media as well as optically dense colonies. The novel instrument was built using a smartphone interface and a 532 nm diode laser, and these essential optical components made it a cost-effective and portable device. When a coherent and collimated light source illuminated a bacterial colony, a reflective ELS pattern was created on the screen and captured by the smartphone camera. The collected patterns whose shapes were determined by the colony morphology were then processed and analyzed to extract distinctive features for bacterial identification. For validation purposes, the reflective ELS patterns of five bacteria grown on opaque growth media were measured with the proposed instrument and utilized for the classification. Cross-validation was performed to evaluate the classification, and the result showed an accuracy above 94% for differentiating colonies of , . , L. , , and
我们提出了一种基于智能手机的细菌菌落表型仪器,该仪器使用反射弹性光散射(ELS)模式和新仪器的分辨率。反射式装置可以获取高度不透明介质和光学密集型菌落上的 ELS 模式。新型仪器使用智能手机接口和 532nm 激光二极管构建而成,这些基本光学元件使其成为一种经济高效且便携的设备。当相干和准直光源照射细菌菌落时,在屏幕上创建一个反射 ELS 图案,并由智能手机相机捕获。收集的图案形状由菌落形态决定,然后对其进行处理和分析,以提取用于细菌识别的特征。为了验证目的,使用提出的仪器测量了在不透明生长介质上生长的五种细菌的反射 ELS 模式,并将其用于分类。进行了交叉验证以评估分类,结果表明区分 、 、 、 、 和 的菌落的准确率高于 94%。