Edinburgh Super Resolution Imaging Consortium (ESRIC), Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, United Kingdom.
Edinburgh Super Resolution Imaging Consortium (ESRIC), Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, United Kingdom.
J Biol Chem. 2021 Jul;297(1):100791. doi: 10.1016/j.jbc.2021.100791. Epub 2021 May 18.
Super-resolution microscopy has become an increasingly popular and robust tool across the life sciences to study minute cellular structures and processes. However, with the increasing number of available super-resolution techniques has come an increased complexity and burden of choice in planning imaging experiments. Choosing the right super-resolution technique to answer a given biological question is vital for understanding and interpreting biological relevance. This is an often-neglected and complex task that should take into account well-defined criteria (e.g., sample type, structure size, imaging requirements). Trade-offs in different imaging capabilities are inevitable; thus, many researchers still find it challenging to select the most suitable technique that will best answer their biological question. This review aims to provide an overview and clarify the concepts underlying the most commonly available super-resolution techniques as well as guide researchers through all aspects that should be considered before opting for a given technique.
超分辨率显微镜已经成为生命科学领域中越来越受欢迎和强大的工具，用于研究微小的细胞结构和过程。然而，随着可用的超分辨率技术的增加，在规划成像实验时，选择的复杂性和负担也在增加。选择正确的超分辨率技术来回答给定的生物学问题对于理解和解释生物学相关性至关重要。这是一个经常被忽视和复杂的任务，应该考虑到明确的标准（例如，样本类型、结构大小、成像要求）。不同成像能力的权衡是不可避免的；因此，许多研究人员仍然发现很难选择最适合的技术来最好地回答他们的生物学问题。本综述旨在提供概述，并阐明最常用的超分辨率技术的基本概念，并指导研究人员在选择给定技术之前考虑所有方面。
