Opt Lett. 2021 Sep 1;46(17):4320-4323. doi: 10.1364/OL.434054.
We report highly sensitive Fourier-transform coherent anti-Stokes Raman scattering spectroscopy enabled by genetic algorithm (GA) pulse shaping for adaptive dispersion compensation. We show that the non-resonant four-wave mixing signal from water can be used as a fitness indicator for successful GA training. This method allows GA adaptation to sample measurement conditions and offers significantly improved performance compared to training using second-harmonic generation from a nonlinear crystal in place of the sample. Results include a 3× improvement to peak signal-to-noise ratio for 2-propanol measurement, as well as a 10× improvement to peak intensities from the high-throughput measurement of polystyrene microbeads under flow.
我们报告了一种高度灵敏的傅里叶变换相干反斯托克斯拉曼散射光谱技术，该技术通过遗传算法（GA）脉冲整形实现自适应色散补偿。我们表明，来自水的非共振四波混频信号可用作成功 GA 训练的适应性指标。这种方法允许 GA 适应样品测量条件，并与使用非线性晶体中的二次谐波代替样品进行训练相比，显著提高了性能。结果包括 2-丙醇测量的峰值信噪比提高了 3 倍，以及在流动下进行的聚苯乙烯微球高通量测量的峰值强度提高了 10 倍。
