利用荧光波动的自适应光学校正精度

J. Gallagher, C. Leroux, I. Wang, A. Delon
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引用次数: 3

摘要

荧光波动法,如荧光相关光谱法,对光学像差非常敏感。这就是为什么可以使用基于波动的度量,即分子亮度,使用无传感器模态自适应光学方法来纠正像差。我们在不同的实验条件下通过校正已知的像差来研究这种方法的性能。亮度测量信噪比的理论和实验进行了检查,发现是直接相关的畸变校正的准确性,以便后者预测对于一个给定的样本亮度和测量时间。我们还表明,初始测量条件在校正动力学中起着关键作用,我们提供了优化校正精度和速度的指导方针。用作度量的分子亮度的优点是,它取决于像差,即施特雷氏比的平方,而与样品的性质无关。因此,它是非常简单的预测可实现的校正精度和性能可以获得具有不同结构和对比样品,这将不可能与基于图像的优化指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy of adaptive optics correction using fluorescence fluctuations
Fluorescence fluctuation methods, such as fluorescence correlation spectroscopy, are very sensitive to optical aberrations. That is why it is possible to use a fluctuations-based metric, the molecular brightness, to correct aberrations using a sensorless modal adaptive optics approach. We have investigated the performance of this method by correcting known aberrations under various experimental conditions. The signal-to-noise ratio of the brightness measurement was examined theoretically and experimentally and found to be directly related to the accuracy of aberration correction, so that the latter can be predicted for a given sample brightness and measurement duration. We have also shown that the initial measurement conditions play a key role in the correction dynamics and we provide guidelines to optimize the corrections accuracy and speed. The molecular brightness, used as a metric, has the advantage that it depends on aberrations as the square of the Strehl ratio, regardless of the nature of the sample. Therefore, it is straightforward to predict the achievable correction accuracy and the same performance can be obtained in samples with different structure and contrast, which would not be possible with image-based optimization metrics.
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