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Simultaneous fluorescence and high-resolution bright-field imaging with aberration correction over a wide field-of-view with Fourier ptychographic microscopy (FPM)

机译:傅立叶色谱分析技术(FPM)在宽视场范围内同时进行荧光和高分辨率明场成像的像差校正

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摘要

We present a method to acquire both fluorescence and high-resolution bright-field images with correction for the spatially varying aberrations over a microscope’s wide field-of-view (FOV). First, the procedure applies Fourier ptychographic microscopy (FPM) to retrieve the amplitude and phase of a sample, at a resolution that significantly exceeds the cutoff frequency of the microscope objective lens. At the same time, FPM algorithm is able to leverage on the redundancy within the set of acquired FPM bright-field images to estimate the microscope aberrations, which usually deteriorate in regions further away from the FOV’s center. Second, the procedure acquires a raw wide-FOV fluorescence image within the same setup. Lack of moving parts allows us to use the FPM-estimated aberration map to computationally correct for the aberrations in the fluorescence image through deconvolution. Overlaying the aberration-corrected fluorescence image on top of the high-resolution bright-field image can be done with accurate spatial correspondence. This can provide means to identifying fluorescent regions of interest within the context of the sample’s bright-field information. An experimental demonstration successfully improves the bright-field resolution of fixed, stained and fluorescently tagged HeLa cells by a factor of 4.9, and reduces the error caused by aberrations in a fluorescence image by 31%, over a field of view of 6.2 mm by 9.3 mm. For optimal deconvolution, we show the fluorescence image needs to have a signal-to-noise ratio of ~18.
机译:我们提出了一种在显微镜的宽视场(FOV)上通过校正空间变化像差来获取荧光和高分辨率明场图像的方法。首先,该程序应用傅里叶气相色谱(FPM)来检索样品的振幅和相位,其分辨率大大超过了显微镜物镜的截止频率。同时,FPM算法能够利用所获取的FPM亮场图像集中的冗余来估计显微镜像差,这些像差通常会在离FOV中心较远的区域恶化。其次,该程序在相同设置下获取原始的宽FOV荧光图像。运动部件的缺乏使我们能够使用FPM估计的像差图通过反卷积来计算校正荧光图像中的像差。可以以精确的空间对应关系将像差校正的荧光图像叠加在高分辨率明场图像的顶部。这可以提供在样品明场信息的背景下识别感兴趣的荧光区域的方法。实验演示成功地将固定,染色和荧光标记的HeLa细胞的明场分辨率提高了4.9倍,并且在6.2 mm的视场上将荧光图像像差引起的误差降低了9.3%达31%。毫米为获得最佳去卷积,我们显示荧光图像需要具有约18的信噪比。

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