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Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

7月27日,以色列理工学院Nano-Bio-Optics lab的Yoav Shechtman团队在Nature Methods发表基于深度学习的超时空分辨率动态定位显微镜重构方法:DBlink。

Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

全文总览

单分子定位显微镜(SMLM)革新了生物成像,将传统显微镜的空间分辨率提高了一个数量级。然而,SMLM技术需要很长的采集时间(通常是几分钟)来生成一个超分辨率的图像,因为它们依赖于数千帧记录上的许多定位的累积。因此,SMLM在高时间分辨率下动态观测的能力一直受到限制。在本研究中,作者提出了一种基于深度学习的SMLM数据的超时空分辨率重构方法DBlink

Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

DBlink的输入是SMLM数据的录制视频,输出是超时空分辨率的视频重构。研究者使用卷积神经网络(CNN)结合双向长短记忆网络架构(bidirectional LSTM),设计用于捕捉不同输入帧之间的长期依赖关系。在模拟细丝和线粒体样结构、受控运动条件下的实验SMLM数据和活细胞动态SMLM数据上展示了DBlink的性能。DBlink时空插值技术是活细胞动态过程超分辨率成像的重要进展。

Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

从定性角度来看,DBlink重构的性能表现始终优于其他重构方法。

Nature Methods | 基于深度学习的超时空分辨率动态定位显微重构方法

参考资料

原文信息

DBlink: dynamic localization microscopy in super spatiotemporal resolution via deep learning

DOI

10.1038/s41592-023-01966-0

作者信息

  • • 第一作者:Alon Saguy
  • • 通讯作者:Yoav Shechtman
  • • 通讯作者单位:Department of Biomedical Engineering, Technion–Israel Institute of Technology, Haifa, Israel

期刊信息

  • • Nature Methods
  • • 中科院生物学类1区Top期刊
  • • 2023 IF:48.0

Datasets

https://doi.org/10.5281/zenodo.7023414

Codes

https://github.com/alonsaguy/DBlink

通讯作者简介

 

Assistant Professor Yoav Shechtman leads the Nano-Bio-Optics lab at the Technion, Israel Institute of Technology. Yoav Finished all degrees at the Technion: BSc in Physics and Electrical Engineering (2007), Phd (2013), and then spent three years as a postdoc at Stanford University (2016), developing super-resolution microscopy methods with W.E. Moerner. His research interests lie mainly in developing and applying optical and signal processing methods for nanoscale imaging challenges. Specifically, Yoav focuses on aspects of single/multiple particle localization and tracking under challenging conditions, e.g. three-dimensional, multicolor, and high throughput imaging, using advanced optical, signal processing and machine learning techniques. The techniques developed in the lab are applied to challenges ranging from basic science, i.e. observing chromatin dynamics in 3D, to biomedical applications, i.e. developing ultra-sensitive assays for biomolecular detection.
Selected recent awards and recognitions:
2017 Zuckerman Faculty Scholar
2018 Early Career Award of the International Association for Medical and Biological Engineering (IAMBE)
2018 European Research Council starting grant
2020 International Union for Pure and Applied Biophysics (IUPAB) Young Investigator Prize and Medal
2020 Morton and Beverley Rechler Prize for Excellence in Research
2021 Krill Prize for Excellence in Scientific Research.

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