MSDenoiser: Muti-step adaptive denoising framework for super-resolution image from single molecule localization microscopy

MSDenoiser: Muti-step adaptive denoising framework for super-resolution image from single molecule localization microscopy

Recent developments in single-molecule localization microscopy (SMLM) enable researchers to study macromolecular structures at the nanometer scale. However, due to the complexity of imaging process, there are a variety of complex heterogeneous noises in SMLM data. The conventional denoising methods...

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Bibliographic Details
Main Authors: Qianghui Feng, Qihang Song, Meng Yan, Zhen Li Huang, Zhengxia Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Physics
Subjects:
noise reduction
super-resolution image processing
multi-step denoising framework
adaptive parameter selection
localization data
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2022.1083558/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2022.1083558/full

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