Tomographic single pixel spatial frequency projection imaging
Tomographic single pixel spatial frequency projection imaging
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DOI：
10.1016/j.optcom.2022.128401
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发表时间：
2022-04
影响因子：
2.4
通讯作者：
Patrick A Stockton;G. Murray;J. Field;J. Squier;A. Pezeshki;R. Bartels
中科院分区：
文献类型：
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作者：
Patrick A Stockton;G. Murray;J. Field;J. Squier;A. Pezeshki;R. Bartels
三维 (3D) 成像的传统方法经常依赖于逐个体素的数据采集，这限制了它们可以有效使用的样本范围。虽然成像技术的进步现在允许常规采集接近视频速率的 3D 图像，但荧光显微镜的图像形成还存在其他限制，无法在大体积样品、高散射介质和动态环境中进行研究。一些 3D 图像收集方法通过使用断层扫描成像来规避这一需求，其中以不同的照明角度收集亚 3D 投影，并通过反演算法进行重建，以计算 3D 荧光团分布的估计。许多此类方法依赖于空间相干光，因此禁止使用荧光灯。通过采用独特的时空变化照明模式结合计算成像方法进行图像重建，我们表明可以克服激光扫描和宽视场成像的一些限制。我们概述了几种利用断层扫描投影和图案照明来收集 3D 图像数据的方法。所有三维光学成像都利用将所需的 3D 信息投影到低维子空间中，然后根据这些数据估计完整的三维物体。我们讨论了许多这样的单像素策略，将对象信息投影到零维（通常是幂）测量上。此外，我们概述了计算图像重建方法，通过采用图像形成过程的正向模型来增强对象估计。
Conventional methods for three-dimensional (3D) imaging frequently rely on voxel-by-voxel data acquisition, which restricts the range of specimens in which they can be effectively employed. While advances in imaging technology now permit the routine acquisition of 3D images approaching video rates, there are other limitations to image formation in fluorescent microscopy that prohibit studies in large volume samples, highly scattering media, and dynamic environments. Some approaches to 3D image collection circumvent this need by the use of tomographic imaging, where sub-3D projections are collected at varying illumination angles and reconstructed through an inversion algorithm to compute an estimate of the 3D fluorophore distribution. Many such methods rely on spatially coherent light, and thus prohibit the use of fluorescent light. By employing unique spatio-temporally varying illumination patterns in conjunction with computational imaging approaches to image reconstruction, we show that some limitations of laser scanning and wide-field imaging can be overcome. We outline several approaches that utilize tomographic projections with patterned illumination to collect 3D image data. All three dimensional optical imaging exploits projection of the desired 3D information into a lower-dimensional subspace, and then a full three dimensional object is estimated from these data. We discuss a number of such single pixel strategies that project object information onto a zero-dimensional, usually a power, measurement. Further, we outline computational image reconstruction approaches that enhance the object estimates by employing a forward model for the image formation process.