Deep learning-based aberration compensation improves contrast and resolution in fluorescence microsc...
Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy
About this item
Full title
Author / Creator
Guo, Min , Wu, Yicong , Hobson, Chad M. , Su, Yijun , Qian, Shuhao , Krueger, Eric , Christensen, Ryan , Kroeschell, Grant , Bui, Johnny , Chaw, Matthew , Zhang, Lixia , Liu, Jiamin , Hou, Xuekai , Han, Xiaofei , Lu, Zhiye , Ma, Xuefei , Zhovmer, Alexander , Combs, Christian , Moyle, Mark , Yemini, Eviatar , Liu, Huafeng , Liu, Zhiyi , Benedetto, Alexandre , La Riviere, Patrick , Colón-Ramos, Daniel and Shroff, Hari
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Optical aberrations hinder fluorescence microscopy of thick samples, reducing image signal, contrast, and resolution. Here we introduce a deep learning-based strategy for aberration compensation, improving image quality without slowing image acquisition, applying additional dose, or introducing more optics. Our method (i) introduces synthetic aberr...
Alternative Titles
Full title
Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy
Authors, Artists and Contributors
Author / Creator
Wu, Yicong
Hobson, Chad M.
Su, Yijun
Qian, Shuhao
Krueger, Eric
Christensen, Ryan
Kroeschell, Grant
Bui, Johnny
Chaw, Matthew
Zhang, Lixia
Liu, Jiamin
Hou, Xuekai
Han, Xiaofei
Lu, Zhiye
Ma, Xuefei
Zhovmer, Alexander
Combs, Christian
Moyle, Mark
Yemini, Eviatar
Liu, Huafeng
Liu, Zhiyi
Benedetto, Alexandre
La Riviere, Patrick
Colón-Ramos, Daniel
Shroff, Hari
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_766d67edf8ea4d09aca345b0dd87a934
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_766d67edf8ea4d09aca345b0dd87a934
Other Identifiers
ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-024-55267-x
