Structured illumination imaging with quasi-periodic patterns.,Journal of Biophotonics

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Structured illumination imaging with quasi-periodic patterns.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-03-18 , DOI: 10.1002/jbio.201960209
Dongli Xu _{1,

2} , Jun Ding ₂ , Leilei Peng _{1,

3}

Affiliation

Structured illumination microscopy (SIM) is a well‐established method for optical sectioning and super‐resolution. The core of structured illumination is using a periodic pattern to excite image signals. This work reports a method for estimating minor pattern distortions from the raw image data and correcting these distortions during SIM image processing. The method was tested with both simulated and experimental image data from two‐photon Bessel light‐sheet SIM. The results proves the method is effective in challenging situations, where strong scattering background exists, signal‐to‐noise ratio (SNR) is low and the sample structure is sparse. Experimental results demonstrate restoring synaptic structures in deep brain tissue, despite the presence of strong light scattering and tissue‐induced SIM pattern distortion.

中文翻译：

具有准周期图案的结构化照明成像。

结构化照明显微镜 (SIM) 是一种行之有效的光学切片和超分辨率方法。结构化照明的核心是使用周期性图案来激发图像信号。这项工作报告了一种方法，用于从原始图像数据中估计微小的图案失真，并在 SIM 图像处理过程中校正这些失真。该方法使用来自双光子贝塞尔光片 SIM 的模拟和实验图像数据进行了测试。结果证明该方法在存在强散射背景、信噪比 (SNR) 低且样本结构稀疏的挑战性情况下是有效的。实验结果表明，尽管存在强光散射和组织诱导的 SIM 模式失真，但仍能恢复深部脑组织中的突触结构。

更新日期：2020-03-18

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