Literature DB >> 30171236

CDeep3M-Plug-and-Play cloud-based deep learning for image segmentation.

Matthias G Haberl1,2, Christopher Churas3, Lucas Tindall4, Daniela Boassa4, Sébastien Phan4,3, Eric A Bushong4, Matthew Madany4, Raffi Akay4, Thomas J Deerinck4, Steven T Peltier4,3, Mark H Ellisman5,6.   

Abstract

As biomedical imaging datasets expand, deep neural networks are considered vital for image processing, yet community access is still limited by setting up complex computational environments and availability of high-performance computing resources. We address these bottlenecks with CDeep3M, a ready-to-use image segmentation solution employing a cloud-based deep convolutional neural network. We benchmark CDeep3M on large and complex two-dimensional and three-dimensional imaging datasets from light, X-ray, and electron microscopy.

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Mesh:

Year:  2018        PMID: 30171236      PMCID: PMC6548193          DOI: 10.1038/s41592-018-0106-z

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


  37 in total

1.  Contrast-enhanced serial optical coherence scanner with deep learning network reveals vasculature and white matter organization of mouse brain.

Authors:  Tianqi Li; Chao J Liu; Taner Akkin
Journal:  Neurophotonics       Date:  2019-07-23       Impact factor: 3.593

Review 2.  Visualizing Mitochondrial Form and Function within the Cell.

Authors:  Brian Glancy
Journal:  Trends Mol Med       Date:  2019-11-06       Impact factor: 11.951

Review 3.  Deep learning in single-molecule microscopy: fundamentals, caveats, and recent developments [Invited].

Authors:  Leonhard Möckl; Anish R Roy; W E Moerner
Journal:  Biomed Opt Express       Date:  2020-02-27       Impact factor: 3.732

4.  Weighted average ensemble-based semantic segmentation in biological electron microscopy images.

Authors:  Kavitha Shaga Devan; Hans A Kestler; Clarissa Read; Paul Walther
Journal:  Histochem Cell Biol       Date:  2022-08-20       Impact factor: 2.531

5.  Single-molecule localization microscopy.

Authors:  Mickaël Lelek; Melina T Gyparaki; Gerti Beliu; Florian Schueder; Juliette Griffié; Suliana Manley; Ralf Jungmann; Markus Sauer; Melike Lakadamyali; Christophe Zimmer
Journal:  Nat Rev Methods Primers       Date:  2021-06-03

Review 6.  Smart imaging to empower brain-wide neuroscience at single-cell levels.

Authors:  Shuxia Guo; Jie Xue; Jian Liu; Xiangqiao Ye; Yichen Guo; Di Liu; Xuan Zhao; Feng Xiong; Xiaofeng Han; Hanchuan Peng
Journal:  Brain Inform       Date:  2022-05-11

7.  Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity.

Authors:  Nicholas L Turner; Thomas Macrina; J Alexander Bae; Runzhe Yang; Alyssa M Wilson; Casey Schneider-Mizell; Kisuk Lee; Ran Lu; Jingpeng Wu; Agnes L Bodor; Adam A Bleckert; Derrick Brittain; Emmanouil Froudarakis; Sven Dorkenwald; Forrest Collman; Nico Kemnitz; Dodam Ih; William M Silversmith; Jonathan Zung; Aleksandar Zlateski; Ignacio Tartavull; Szi-Chieh Yu; Sergiy Popovych; Shang Mu; William Wong; Chris S Jordan; Manuel Castro; JoAnn Buchanan; Daniel J Bumbarger; Marc Takeno; Russel Torres; Gayathri Mahalingam; Leila Elabbady; Yang Li; Erick Cobos; Pengcheng Zhou; Shelby Suckow; Lynne Becker; Liam Paninski; Franck Polleux; Jacob Reimer; Andreas S Tolias; R Clay Reid; Nuno Maçarico da Costa; H Sebastian Seung
Journal:  Cell       Date:  2022-02-24       Impact factor: 66.850

Review 8.  Deep learning for cellular image analysis.

Authors:  Erick Moen; Dylan Bannon; Takamasa Kudo; William Graf; Markus Covert; David Van Valen
Journal:  Nat Methods       Date:  2019-05-27       Impact factor: 28.547

Review 9.  Immune monitoring using mass cytometry and related high-dimensional imaging approaches.

Authors:  Felix J Hartmann; Sean C Bendall
Journal:  Nat Rev Rheumatol       Date:  2019-12-31       Impact factor: 20.543

10.  On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.

Authors:  Dennis Segebarth; Matthias Griebel; Christoph M Flath; Robert Blum; Nikolai Stein; Cora R von Collenberg; Corinna Martin; Dominik Fiedler; Lucas B Comeras; Anupam Sah; Victoria Schoeffler; Teresa Lüffe; Alexander Dürr; Rohini Gupta; Manju Sasi; Christina Lillesaar; Maren D Lange; Ramon O Tasan; Nicolas Singewald; Hans-Christian Pape
Journal:  Elife       Date:  2020-10-19       Impact factor: 8.140

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