Micron Advanced Bioimaging Unit, Department of Biochemistry, University of Oxford, Oxford, UK.
Bio-Imaging Resource Center, The Rockefeller University, New York, New York, USA.
Nat Protoc. 2017 May;12(5):988-1010. doi: 10.1038/nprot.2017.019. Epub 2017 Apr 13.
Linear 2D- or 3D-structured illumination microscopy (SIM or3D-SIM, respectively) enables multicolor volumetric imaging of fixed and live specimens with subdiffraction resolution in all spatial dimensions. However, the reliance of SIM on algorithmic post-processing renders it particularly sensitive to artifacts that may reduce resolution, compromise data and its interpretations, and drain resources in terms of money and time spent. Here we present a protocol that allows users to generate high-quality SIM data while accounting and correcting for common artifacts. The protocol details preparation of calibration bead slides designed for SIM-based experiments, the acquisition of calibration data, the documentation of typically encountered SIM artifacts and corrective measures that should be taken to reduce them. It also includes a conceptual overview and checklist for experimental design and calibration decisions, and is applicable to any commercially available or custom platform. This protocol, plus accompanying guidelines, allows researchers from students to imaging professionals to create an optimal SIM imaging environment regardless of specimen type or structure of interest. The calibration sample preparation and system calibration protocol can be executed within 1-2 d.
线性 2D-或 3D-结构照明显微镜(分别为 SIM 或 3D-SIM)可在所有空间维度上以亚衍射分辨率对固定和活标本进行多色体积成像。然而,SIM 对算法后处理的依赖使其特别容易受到可能降低分辨率、损害数据及其解释的伪影的影响,并在金钱和时间方面造成资源浪费。在这里,我们提供了一个协议,允许用户在考虑和纠正常见伪影的同时生成高质量的 SIM 数据。该协议详细说明了用于基于 SIM 的实验的校准珠幻灯片的制备、校准数据的获取、通常遇到的 SIM 伪影的记录以及应采取的减少它们的纠正措施。它还包括一个概念概述和实验设计及校准决策检查表,适用于任何市售或定制平台。无论标本类型或感兴趣的结构如何,本协议加上配套的指南可使研究人员(包括学生和成像专业人员)创建最佳的 SIM 成像环境。校准样本制备和系统校准协议可在 1-2 天内完成。