Wilson Benjamin K, Vigil Genevieve D
Intellectual Ventures Laboratory, 1555 132nd AVE NE, Bellevue, Washington, USA.
Biomed Opt Express. 2013 Aug 20;4(9):1692-701. doi: 10.1364/BOE.4.001692. eCollection 2013.
We propose and demonstrate a dark-field imaging technique capable of automated identification of individual bacteria. An 87-channel multispectral system capable of angular and spectral resolution was used to measure the scattering spectrum of various bacteria in culture smears. Spectra were compared between various species and between various preparations of the same species. A 15-channel system was then used to prove the viability of bacterial identification with a relatively simple microscope system. A simple classifier was able to identify four of six bacterial species with greater than 90% accuracy in bacteria-by-bacteria testing.
我们提出并展示了一种能够自动识别单个细菌的暗场成像技术。使用一个具有角度和光谱分辨率的87通道多光谱系统来测量培养涂片上各种细菌的散射光谱。对不同物种之间以及同一物种的不同制剂之间的光谱进行了比较。然后使用一个15通道系统来证明用相对简单的显微镜系统进行细菌鉴定的可行性。在逐个细菌测试中，一个简单的分类器能够以高于90%的准确率识别六种细菌中的四种。
