Highly sensitive Fourier-transform coherent anti-Stokes Raman scattering spectroscopy via genetic algorithm pulse shaping
Highly sensitive Fourier-transform coherent anti-Stokes Raman scattering spectroscopy via genetic algorithm pulse shaping
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DOI：
10.1364/ol.434054
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发表时间：
2021-09-01
期刊：
影响因子：
3.6
通讯作者：
Goda, Keisuke
中科院分区：
文献类型：
--
作者：
Lindley, Matthew;Gala de Pablo, Julia;Goda, Keisuke
本文报道了采用遗传算法（GA）脉冲整形实现自适应色散补偿的高灵敏度傅立叶变换相干反斯托克斯拉曼散射光谱。我们证明了来自水的非共振四波混合信号可以作为遗传算法成功训练的适应度指标。该方法允许遗传算法适应样品测量条件，并且与使用非线性晶体代替样品产生二次谐波的训练相比，提供了显着改善的性能。结果包括2-丙醇测量的峰值信噪比提高了3倍，流动下聚苯乙烯微珠的高通量测量的峰值强度提高了10倍。(C) 2021美国光学学会
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 3x improvement to peak signal-to-noise ratio for 2-propanol measurement, as well as a 10x improvement to peak intensities from the high-throughput measurement of polystyrene microbeads under flow. (C) 2021 Optical Society of America