DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image

doi:10.1364/BOE.431798

	DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image
	Gao, Shan 1,2; Xu, Fan 3; Li, Hongjia 1,2; Xue, Fudong 4; Zhang, Mingshu 4; Xu, Pingyong 1,4; Zhang, Fa 2
刊名	BIOMEDICAL OPTICS EXPRESS
	2021-09-01
卷号	12 期号:9 页码:5751-5769
ISSN号	2156-7085
DOI	10.1364/BOE.431798
英文摘要	Super-resolution fluorescence microscopy, with a spatial resolution beyond the diffraction limit of light, has become an indispensable tool to observe subcellular structures at a nanoscale level. To verify that the super-resolution images reflect the underlying structures of samples, the development of robust and reliable artifact detection methods has received widespread attention. However, the existing artifact detection methods are prone to report false alert artifacts because it relies on absolute intensity mismatch between the wide-field image and resolution rescaled super-resolution image. To solve this problem, we proposed DETECTOR, a structural information-guided artifact detection method for super-resolution images. It detects artifacts by computing the structural dissimilarity between the wide-field image and the resolution rescaled super-resolution image. To focus on structural similarity, we introduce a weight mask to weaken the influence of strong autofluorescence background and proposed a structural similarity index for super-resolution images, named MASK-SSIM. Simulations and experimental results demonstrated that compared with the state-of-the-art methods, DETECTOR has advantages in detecting structural artifacts in super-resolution images. It is especially suitable for wide-field images with strong autofluorescence background and super-resolution images of single molecule localization microscopy (SMLM). DETECTOR has extreme sensitivity to the weak signal region. Moreover, DETECTOR can guide data collection and parameter tuning during image reconstruction. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
资助项目	National Key Research and Development Program of China[2017YFA0504702] ; National Key Research and Development Program of China[2017YFA0505300] ; National Natural Science Foundation of China[21778069] ; National Natural Science Foundation of China[21927813] ; National Natural Science Foundation of China[31870857] ; National Natural Science Foundation of China[32027901] ; National Natural Science Foundation of China[61932018] ; National Natural Science Foundation of China[62072441] ; Beijing Municipal Natural Science Foundation[L182053] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB37040301]
WOS研究方向	Biochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
语种	英语
出版者	OPTICAL SOC AMER
WOS记录号	WOS:000693319200005
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17145]
专题	中国科学院计算技术研究所
通讯作者	Zhang, Mingshu
作者单位	1.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 2.Chinese Acad Sci, High Performance Comp Res Ctr, Inst Comp Technol, Beijing 100190, Peoples R China 3.Purdue Univ, Weldon Sch Biomed Engn, W Lafayette, IN 47907 USA 4.Chinese Acad Sci, Inst Biophys, Key Lab RNA Biol, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Gao, Shan,Xu, Fan,Li, Hongjia,et al. DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image[J]. BIOMEDICAL OPTICS EXPRESS,2021,12(9):5751-5769.
APA	Gao, Shan.,Xu, Fan.,Li, Hongjia.,Xue, Fudong.,Zhang, Mingshu.,...&Zhang, Fa.(2021).DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image.BIOMEDICAL OPTICS EXPRESS,12(9),5751-5769.
MLA	Gao, Shan,et al."DETECTOR: structural information guided artifact detection for super-resolution fluorescence microscopy image".BIOMEDICAL OPTICS EXPRESS 12.9(2021):5751-5769.