deepBlink: threshold-independent detection and localization of diffraction-limited spots

被引：24

作者：

Eichenberger, Bastian Th ^{[1
,2
]}

Zhan, Yinxiu ^{[1
]}

Rempfler, Markus ^{[1
]}

Giorgetti, Luca ^{[1
]}

Chao, Jeffrey A. ^{[1
]}

机构：

[1] Friedrich Miescher Inst Biomed Res, CH-4058 Basel, Switzerland

[2] Univ Basel, CH-4003 Basel, Switzerland

来源：

NUCLEIC ACIDS RESEARCH | 2021年 / 49卷 / 13期

基金：

欧洲研究理事会; 瑞士国家科学基金会;

关键词：

D O I：

10.1093/nar/gkab546

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Detection of diffraction-limited spots in single-molecule microscopy images is traditionally performed with mathematical operators designed for idealized spots. This process requires manual tuning of parameters that is time-consuming and not always reliable. We have developed deepBlink, a neural network-based method to detect and localize spots automatically. We demonstrate that deepBlink outperforms other state-of-the-art methods across six publicly available datasets containing synthetic and experimental data.

引用

页码：7292 / 7297

页数：6

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