LuckyProfiler：一款ImageJ插件，能够轻松、有效地对超分辨率图像的半高宽分辨率进行量化。
LuckyProfiler: an ImageJ plug-in capable of quantifying FWHM resolution easily and effectively for super-resolution images.
作者信息
Li Mengting, Song Qihang, Xiao Yinghao, Wu Junnan, Kuang Weibing, Zhang Yingjun, Huang Zhen-Li
机构信息
Britton Chance Center and MoE Key Laboratory for Biomedical Photonics, School of Engineering Sciences, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China.
Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China.
出版信息
Biomed Opt Express. 2022 Jul 25;13(8):4310-4325. doi: 10.1364/BOE.462197. eCollection 2022 Aug 1.
Quantifying the resolution of a super-resolution image is vital for biologists trying to apply super-resolution microscopy in various research fields. Among the reported image resolution estimation methods, the one that calculates the full width at half maximum (FWHM) of line profile, called FWHM resolution, continues the traditional resolution criteria and has been popularly used by many researchers. However, quantifying the FWHM resolution of a super-resolution image is a time-consuming, labor-intensive, and error-prone process because this method typically involves a manual and careful selection of one or several of the smallest structures. In this paper, we investigate the influencing factors in FWHM resolution quantification systematically and present an ImageJ plug-in called LuckyProfiler for biologists so that they can have an easy and effective way of quantifying the FWHM resolution of super-resolution images.
对于试图在各个研究领域应用超分辨率显微镜的生物学家来说，量化超分辨率图像的分辨率至关重要。在已报道的图像分辨率估计方法中，一种通过计算线轮廓的半高全宽（FWHM）来确定分辨率的方法，即FWHM分辨率，延续了传统的分辨率标准，并被许多研究人员广泛使用。然而，量化超分辨率图像的FWHM分辨率是一个耗时、费力且容易出错的过程，因为这种方法通常需要手动且仔细地选择一个或几个最小的结构。在本文中，我们系统地研究了FWHM分辨率量化中的影响因素，并为生物学家提供了一个名为LuckyProfiler的ImageJ插件，以便他们能够轻松有效地量化超分辨率图像的FWHM分辨率。
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