Literature DB >> 30377365

Deep learning to predict microscope images.

Roger Brent1, Laura Boucheron2.   

Abstract

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Year:  2018        PMID： 30377365      PMCID： PMC6322918          DOI： 10.1038/s41592-018-0194-9

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


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  4 in total

1.  The perceptron: a probabilistic model for information storage and organization in the brain.

Authors:  F ROSENBLATT
Journal:  Psychol Rev       Date:  1958-11       Impact factor: 8.934

2.  In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images.

Authors:  Eric M Christiansen; Samuel J Yang; D Michael Ando; Ashkan Javaherian; Gaia Skibinski; Scott Lipnick; Elliot Mount; Alison O'Neil; Kevan Shah; Alicia K Lee; Piyush Goyal; William Fedus; Ryan Poplin; Andre Esteva; Marc Berndl; Lee L Rubin; Philip Nelson; Steven Finkbeiner
Journal:  Cell       Date:  2018-04-12       Impact factor: 41.582

3.  A logical calculus of the ideas immanent in nervous activity. 1943.

Authors:  W S McCulloch; W Pitts
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

4.  Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy.

Authors:  Chawin Ounkomol; Sharmishtaa Seshamani; Mary M Maleckar; Forrest Collman; Gregory R Johnson
Journal:  Nat Methods       Date:  2018-09-17       Impact factor: 28.547
  4 in total
  3 in total

Review 1.  From observing to predicting single-cell structure and function with high-throughput/high-content microscopy.

Authors:  Anatole Chessel; Rafael E Carazo Salas
Journal:  Essays Biochem       Date:  2019-07-03       Impact factor: 8.000

2.  Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging.

Authors:  Julienne LaChance; Daniel J Cohen
Journal:  PLoS Comput Biol       Date:  2020-12-23       Impact factor: 4.475

3.  Classification of Mouse Lung Metastatic Tumor with Deep Learning.

Authors:  Ha Neul Lee; Hong-Deok Seo; Eui-Myoung Kim; Beom Seok Han; Jin Seok Kang
Journal:  Biomol Ther (Seoul)       Date:  2022-03-01       Impact factor: 4.634
  3 in total

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