论文标题

使用部分相干照明的透明结构的狼阶段断层扫描(WPT)

Wolf phase tomography (WPT) of transparent structures using partially coherent illumination

论文作者

Chen, Xi, Kandel, Mikhail E., Hu, Chenfei, Lee, Young Jae, Popescu, Gabriel

论文摘要

埃米尔·沃尔夫(Emil Wolf)在1969年提出了使用相干全息成像的衍射层析成像,以从透明的,不均匀的物体中提取3D信息。同时,狼方程描述了与部分相干磁场相关的传播相关性。结合了这两个概念,我们在这里提出了狼阶段断层扫描(WPT),这是一种使用部分相干场进行衍射断层扫描的方法。 WPT重建在直接时空域中起作用,而无需傅立叶变换,并将折射率分布与样品厚度分配。我们使用空间光干扰显微镜(Slim)获得的数据证明了WPT原理。 Slim是一种定量相成像方法,它通过引入入射和散射场之间的受控相移来升级现有的相比显微镜。 Slim中的照明场在空间上是相干的(从环形瞳孔函数中出现)和低颞连贯性(白光),因此适用于狼方程。从对对应于Slim中不同相对比框架的三个强度测量值,通过计算测得的复杂相关函数的Laplacian和第二次衍生物,立即获得3D折射率分布。该方法的高通量和简单性使得对整个多孔板的活细胞中的3D,动态事件进行了研究,其敏感性在10-5阶。我们通过测量标准样品(微粒),精子和活神经网络来验证WPT。

Diffraction tomography using coherent holographic imaging has been proposed by Emil Wolf in 1969 to extract 3D information from transparent, inhomogeneous objects. At the same time, the Wolf equations describe the propagation correlations associated with partially coherent fields. Combining these two concepts, here we present Wolf phase tomography (WPT), which is a method for performing diffraction tomography using partially coherent fields. The WPT reconstruction works in the direct space-time domain, without the need of Fourier transformation, and decouples the refractive index distribution from the thickness of the sample. We demonstrate the WPT principle using data acquired by spatial light interference microscopy (SLIM). SLIM is a quantitative phase imaging method that upgrades an existing phase contrast microscope by introducing controlled phase shifts between the incident and scattered fields. The illumination field in SLIM is spatially partially coherent (emerging from a ring-shaped pupil function) and of low temporal coherence (white light), thus, suitable for the Wolf equations. From three intensity measurements corresponding to different phase-contrast frames in SLIM, the 3D refractive index distribution is obtained right away by computing the Laplacian and second time derivative of the measured complex correlation function. The high-throughput and simplicity of this method enables the study of 3D, dynamic events in living cells across entire multi-well plates, with RI sensitivity on the order of 10-5. We validate WPT with measurements of standard samples (microbeads), spermatozoa, and live neural networks.

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