Origin and compensation of imaging artefacts in localization-based super-resolution microscopy

被引：9

作者：

Erdelyi, M. ^{[1
]}

Sinko, J. ^{[1
]}

Kakonyi, R. ^{[1
]}

Kelemen, A. ^{[2
]}

Rees, E. ^{[3
]}

Varga, D. ^{[1
]}

Szabo, G. ^{[1
]}

机构：

[1] Univ Szeged, Dept Opt & Quantum Elect, H-6720 Szeged, Hungary

[2] Univ Szeged, Dept Appl Informat, H-6725 Szeged, Hungary

[3] Univ Cambridge, Dept Chem Engn & Biotechnol, Cambridge CB2 3RA, England

来源：

METHODS | 2015年 / 88卷

基金：

英国工程与自然科学研究理事会;

关键词：

Super-resolution microscopy; Localization microscopy; Imaging artefacts; Localization error; OPTICAL RECONSTRUCTION MICROSCOPY; SINGLE-MOLECULE LOCALIZATION; RESOLUTION LIMIT; SUBDIFFRACTION-RESOLUTION; ALGORITHMS; ACCURACY; BREAKING; FLUOROPHORES; PERFORMANCE; NANOSCOPY;

D O I：

10.1016/j.ymeth.2015.05.025

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Interpretation of high resolution images provided by localization-based microscopy techniques is a challenge due to imaging artefacts that can be categorized by their origin. They can be introduced by the optical system, by the studied sample or by the applied algorithms. Some artefacts can be eliminated via precise calibration procedures, others can be reduced only below a certain value. Images studied both theoretically and experimentally are qualified either by pattern specific metrics or by a more general metric based on fluorescence correlation spectroscopy. (C) 2015 Elsevier Inc. All rights reserved.

引用

页码：122 / 132

页数：11

共 50 条

[21] Single-organelle localization-based super-resolution imaging for subcellular molecules micro-dynamics
Fang, Guiqian
Liu, Daili
Zhang, Mengrui
Shao, Liwei
Shao, Xintian
Chen, Jia
Meng, Caicai
Wang, Yanfeng
Zeng, Kewu
Chen, Qixin
COORDINATION CHEMISTRY REVIEWS, 2024, 504
[22] Frame rate effects and their compensation on super-resolution microvessel imaging using ultrasound localization microscopy
Guo, Xingyi
Ta, Dean
Xu, Kailiang
ULTRASONICS, 2023, 132
[23] STRUCTURE-BASED DETERMINATION OF IMAGING LENGTH FOR SUPER-RESOLUTION LOCALIZATION MICROSCOPY
Chen, Kuan-Chieh Jackie
Kovacevic, Jelena
Yang, Ge
2014 IEEE 11TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2014, : 991 - 994
[24] Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images
Christopher A. Mela
Yang Liu
BMC Bioinformatics, 22
[25] Biological Insight from Super-Resolution Microscopy: What We Can Learn from Localization-Based Images
Baddeley, David
Bewersdorf, Joerg
ANNUAL REVIEW OF BIOCHEMISTRY, VOL 87, 2018, 87 : 965 - 989
[26] Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images
Mela, Christopher A.
Liu, Yang
BMC BIOINFORMATICS, 2021, 22 (01)
[27] mmSTORM: Multimodal localization based super-resolution microscopy
Gajdos, Tamas
Cserteg, Zsofia
Szikora, Szilard
Novak, Tibor
Kovacs, Balint Barna H.
Szabo, Gabor
Mihaly, Jozsef
Erdelyi, Miklos
SCIENTIFIC REPORTS, 2019, 9 (1)
[28] mmSTORM: Multimodal localization based super-resolution microscopy
Tamás Gajdos
Zsófia Cserteg
Szilárd Szikora
Tibor Novák
Bálint Barna H. Kovács
Gábor Szabó
József Mihály
Miklós Erdélyi
Scientific Reports, 9
[29] Probing Chromatin Compaction and Its Epigenetic States in situ With Single-Molecule Localization-Based Super-Resolution Microscopy
Xu, Jianquan
Liu, Yang
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
[30] Localization-based super-resolution microscopy with an sCMOS camera Part II: Experimental methodology for comparing sCMOS with EMCCD cameras
Long, Fan
Zeng, Shaoqun
Huang, Zhen-Li
OPTICS EXPRESS, 2012, 20 (16): : 17741 - 17759

← 1 2 3 4 5 →