Literature DB >> 33479523

The promise and peril of deep learning in microscopy.

David P Hoffman1, Isaac Slavitt2, Casey A Fitzpatrick2.   

Abstract

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Year:  2021        PMID： 33479523     DOI： 10.1038/s41592-020-01035-w

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  5 in total

1.  Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy.

Authors:  Weisong Zhao; Shiqun Zhao; Liuju Li; Xiaoshuai Huang; Shijia Xing; Yulin Zhang; Guohua Qiu; Zhenqian Han; Yingxu Shang; De-En Sun; Chunyan Shan; Runlong Wu; Lusheng Gu; Shuwen Zhang; Riwang Chen; Jian Xiao; Yanquan Mo; Jianyong Wang; Wei Ji; Xing Chen; Baoquan Ding; Yanmei Liu; Heng Mao; Bao-Liang Song; Jiubin Tan; Jian Liu; Haoyu Li; Liangyi Chen
Journal:  Nat Biotechnol       Date:  2021-11-15       Impact factor: 54.908

2.  The difficulty of computing stable and accurate neural networks: On the barriers of deep learning and Smale's 18th problem.

Authors:  Matthew J Colbrook; Vegard Antun; Anders C Hansen
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-16       Impact factor: 12.779

3.  Avoiding a replication crisis in deep-learning-based bioimage analysis.

Authors:  Romain F Laine; Ignacio Arganda-Carreras; Ricardo Henriques; Guillaume Jacquemet
Journal:  Nat Methods       Date:  2021-10       Impact factor: 28.547

4.  The risk of bias in denoising methods: Examples from neuroimaging.

Authors:  Kendrick Kay
Journal:  PLoS One       Date:  2022-07-01       Impact factor: 3.752

5.  Structured illumination microscopy with noise-controlled image reconstructions.

Authors:  Carlas S Smith; Johan A Slotman; Lothar Schermelleh; Nadya Chakrova; Sangeetha Hari; Yoram Vos; Cornelis W Hagen; Marcel Müller; Wiggert van Cappellen; Adriaan B Houtsmuller; Jacob P Hoogenboom; Sjoerd Stallinga
Journal:  Nat Methods       Date:  2021-06-14       Impact factor: 28.547
  5 in total

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