Fourier light-field microscopy
Fourier light-field microscopy
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DOI：
10.1364/oe.27.025573
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发表时间：
2019-09-02
期刊：
影响因子：
3.8
通讯作者：
Jia, Shu
中科院分区：
文献类型：
--
作者：
Guo, Changliang;Liu, Wenhao;Jia, Shu
以高分辨率观察跨越许多时空尺度的各种解剖学和功能信息提供了对生物系统基本原理的深刻理解。光场显微镜（LFM）最近成为一种免扫描，可扩展的方法，允许从单细胞标本到哺乳动物大脑的高速，体积成像。然而，令人望而却步的重建伪影和严重的计算成本，迄今限制了更广泛的应用LFM。为了应对这一挑战，在这项工作中，我们报告傅立叶线性调频（FLFM），通过傅立叶域处理光场信息的系统。我们建立了一个完整的理论和算法框架，描述了FLFM的光传输，成像和系统特性。与传统的LFM相比，FLFM从根本上减轻了伪影，允许在两到三倍的扩展深度上进行高分辨率成像。此外，该系统大大减少了重建时间约两个数量级。FLFM通过各种口径和生物样本的高分辨率、无伪影成像进行了验证。此外，我们提出了一个通用的设计原则FLFM，作为一个高度可扩展的方法，以满足更广泛的成像需求，在各种空间层次。我们预计FLFM是一个特别强大的工具，用于成像不同的表型和功能信息，跨越广泛的分子，细胞和组织系统。(C)根据OSA开放获取出版协议的条款，2019年美国光学学会
Observing the various anatomical and functional information that spans many spatiotemporal scales with high resolution provides deep understandings of the fundamentals of biological systems. Light-field microscopy (LFM) has recently emerged as a scanning-free, scalable method that allows for high-speed, volumetric imaging ranging from single-cell specimens to the mammalian brain. However, the prohibitive reconstruction artifacts and severe computational cost have thus far limited broader applications of LFM. To address the challenge, in this work, we report Fourier LFM (FLFM), a system that processes the light-field information through the Fourier domain. We established a complete theoretical and algorithmic framework that describes light propagation, image formation and system characterization of FLFM. Compared with conventional LFM, FLFM fundamentally mitigates the artifacts, allowing high-resolution imaging across a two- to three-fold extended depth. In addition, the system substantially reduces the reconstruction time by roughly two orders of magnitude. FLFM was validated by high-resolution, artifact-free imaging of various caliber and biological samples. Furthermore, we proposed a generic design principle for FLFM, as a highly scalable method to meet broader imaging needs across various spatial levels. We anticipate FLFM to be a particularly powerful tool for imaging diverse phenotypic and functional information, spanning broad molecular, cellular and tissue systems. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement