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Diagnostics of biomedical agents by whispering gallery mode optical resonance based sensor

机译:窃听画廊模式光共谐振传感器诊断生物医学代理

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Experimental data on optical resonance spectra of whispering gallery modes of dielectric microspheres in antibiotic solutions under varied in wide range concentration are represented. Optical resonance was demonstrated could be detected at a laser power of less than 1 microwatt. Several antibiotics of different generations: Amoxicillin, Azithromycin, Cephazolin, Chloramphenicol, Levofloxacin, Lincomicin Benzylpenicillin, Riphampicon both in de-ionized water and physiological solution had been used for measurements. Both spectral shift and the structure of resonance spectra were of specific interest in this investigation. Drag identification has been performed by developed multilayer perceptron network. The network topology was designed included: a number of the hidden layers of multilayered perceptron, a number of neurons in each of layers, a method of training of a neural network, activation functions of layers, type and size of a deviation of the received values from required values. For a network training the method of the back propagation error in various modifications has been used. Input vectors correspond to 6 classes of biological substances under investigation. The result of classification was considered as positive when each of the region, representing a certain substance in a space: relative spectral shift of an optical resonance maxima - relative efficiency of excitation of WGM, was singly connected.
机译:表示关于在宽范围浓度的抗生素溶液中​​介电微球的潜水基型介电微球的光谐振谱的实验数据。可以在光功率低于1微米的激光功率检测光学谐振。几代抗生素:阿莫西林,阿奇霉素,Cephazolin,氯霉素,左氧氟沙星,LiNcomicin苄基培斯林,RIPHampicon均用于测量的去离子水和生理溶液中。扫描偏移和共振光谱的结构对该研究具有特异性兴趣。已经通过开发的多层Perceptron网络执行了拖动识别。设计了网络拓扑结构:多层的隐藏层的多层层,各个层中的多个神经元,一种训练神经网络的方法,层的激活函数,类型和大小的接收值的偏差从所需的值。对于网络训练,已经使用了各种修改中的后传播误差的方法。输入载体对应于调查的6类生物物质。当在空间中的每个区域中的每个区域中的每个区域被认为是正的分类结果:单独连接光学谐振最大值的相对光谱偏移 - 激发WGM的相对效率。

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