Compressive sensing can overcome the Nyquist criterion and record images with a fraction of the usual number of measurements required. However, conventional measurement bases are susceptible to diffraction and scattering, prevalent in high-resolution microscopy. In this Letter, we explore the random Morlet basis as an optimal set for compressive multiphoton imaging, based on its ability to minimize the space–frequency uncertainty. We implement this approach for wide-field multiphoton microscopy with single-pixel detection, which allows imaging through turbid media without correction. The Morlet basis promises a route for rapid acquisition with lower photodamage.

中文翻译：

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使用单像素检测的深度最佳压缩多光子成像

压缩感测可以克服奈奎斯特标准，并以所需的通常测量次数的一小部分记录图像。但是，常规的测量基础容易发生衍射和散射，这在高分辨率显微镜中很普遍。在这封信中，我们基于随机Mor Morlet最小化空间频率不确定性的能力，将其作为压缩多光子成像的最佳设置。我们将这种方法用于具有单像素检测的宽视野多光子显微镜，该方法无需校正即可通过混浊介质成像。莫雷特（Morlet）的基础有望以较低的光损伤实现快速采集。