Literature DB >> 33651804

DeepMIB: User-friendly and open-source software for training of deep learning network for biological image segmentation.

Ilya Belevich1, Eija Jokitalo1.   

Abstract

We present DeepMIB, a new software package that is capable of training convolutional neural networks for segmentation of multidimensional microscopy datasets on any workstation. We demonstrate its successful application for segmentation of 2D and 3D electron and multicolor light microscopy datasets with isotropic and anisotropic voxels. We distribute DeepMIB as both an open-source multi-platform Matlab code and as compiled standalone application for Windows, MacOS and Linux. It comes in a single package that is simple to install and use as it does not require knowledge of programming. DeepMIB is suitable for everyone interested of bringing a power of deep learning into own image segmentation workflows.

Entities:  

Year:  2021        PMID: 33651804      PMCID: PMC7954287          DOI: 10.1371/journal.pcbi.1008374

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  20 in total

1.  Annotated high-throughput microscopy image sets for validation.

Authors:  Vebjorn Ljosa; Katherine L Sokolnicki; Anne E Carpenter
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

2.  Connectomic reconstruction of the inner plexiform layer in the mouse retina.

Authors:  Moritz Helmstaedter; Kevin L Briggman; Srinivas C Turaga; Viren Jain; H Sebastian Seung; Winfried Denk
Journal:  Nature       Date:  2013-08-08       Impact factor: 49.962

3.  Intelligent Image-Activated Cell Sorting.

Authors:  Nao Nitta; Takeaki Sugimura; Akihiro Isozaki; Hideharu Mikami; Kei Hiraki; Shinya Sakuma; Takanori Iino; Fumihito Arai; Taichiro Endo; Yasuhiro Fujiwaki; Hideya Fukuzawa; Misa Hase; Takeshi Hayakawa; Kotaro Hiramatsu; Yu Hoshino; Mary Inaba; Takuro Ito; Hiroshi Karakawa; Yusuke Kasai; Kenichi Koizumi; SangWook Lee; Cheng Lei; Ming Li; Takanori Maeno; Satoshi Matsusaka; Daichi Murakami; Atsuhiro Nakagawa; Yusuke Oguchi; Minoru Oikawa; Tadataka Ota; Kiyotaka Shiba; Hirofumi Shintaku; Yoshitaka Shirasaki; Kanako Suga; Yuta Suzuki; Nobutake Suzuki; Yo Tanaka; Hiroshi Tezuka; Chihana Toyokawa; Yaxiaer Yalikun; Makoto Yamada; Mai Yamagishi; Takashi Yamano; Atsushi Yasumoto; Yutaka Yatomi; Masayuki Yazawa; Dino Di Carlo; Yoichiroh Hosokawa; Sotaro Uemura; Yasuyuki Ozeki; Keisuke Goda
Journal:  Cell       Date:  2018-08-27       Impact factor: 41.582

Review 4.  ilastik: interactive machine learning for (bio)image analysis.

Authors:  Stuart Berg; Dominik Kutra; Thorben Kroeger; Christoph N Straehle; Bernhard X Kausler; Carsten Haubold; Martin Schiegg; Janez Ales; Thorsten Beier; Markus Rudy; Kemal Eren; Jaime I Cervantes; Buote Xu; Fynn Beuttenmueller; Adrian Wolny; Chong Zhang; Ullrich Koethe; Fred A Hamprecht; Anna Kreshuk
Journal:  Nat Methods       Date:  2019-09-30       Impact factor: 28.547

5.  DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.

Authors:  Alexander Mathis; Pranav Mamidanna; Kevin M Cury; Taiga Abe; Venkatesh N Murthy; Mackenzie Weygandt Mathis; Matthias Bethge
Journal:  Nat Neurosci       Date:  2018-08-20       Impact factor: 24.884

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

Authors:  Matthias G Haberl; Christopher Churas; Lucas Tindall; Daniela Boassa; Sébastien Phan; Eric A Bushong; Matthew Madany; Raffi Akay; Thomas J Deerinck; Steven T Peltier; Mark H Ellisman
Journal:  Nat Methods       Date:  2018-08-31       Impact factor: 28.547

7.  An integrated micro- and macroarchitectural analysis of the Drosophila brain by computer-assisted serial section electron microscopy.

Authors:  Albert Cardona; Stephan Saalfeld; Stephan Preibisch; Benjamin Schmid; Anchi Cheng; Jim Pulokas; Pavel Tomancak; Volker Hartenstein
Journal:  PLoS Biol       Date:  2010-10-05       Impact factor: 8.029

8.  Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

Authors:  Ignacio Arganda-Carreras; Verena Kaynig; Curtis Rueden; Kevin W Eliceiri; Johannes Schindelin; Albert Cardona; H Sebastian Seung
Journal:  Bioinformatics       Date:  2017-08-01       Impact factor: 6.937

9.  Microscopy Image Browser: A Platform for Segmentation and Analysis of Multidimensional Datasets.

Authors:  Ilya Belevich; Merja Joensuu; Darshan Kumar; Helena Vihinen; Eija Jokitalo
Journal:  PLoS Biol       Date:  2016-01-04       Impact factor: 8.029

10.  UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images.

Authors:  Hidetoshi Urakubo; Torsten Bullmann; Yoshiyuki Kubota; Shigeyuki Oba; Shin Ishii
Journal:  Sci Rep       Date:  2019-12-19       Impact factor: 4.379

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  6 in total

1.  Correlative light and volume electron microscopy (vCLEM): How community participation can advance developing technologies.

Authors:  Christopher J Guerin; Saskia Lippens
Journal:  J Microsc       Date:  2021-09-20       Impact factor: 1.952

2.  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

3.  Democratising deep learning for microscopy with ZeroCostDL4Mic.

Authors:  Lucas von Chamier; Romain F Laine; Johanna Jukkala; Christoph Spahn; Daniel Krentzel; Elias Nehme; Martina Lerche; Sara Hernández-Pérez; Pieta K Mattila; Eleni Karinou; Séamus Holden; Ahmet Can Solak; Alexander Krull; Tim-Oliver Buchholz; Martin L Jones; Loïc A Royer; Christophe Leterrier; Yoav Shechtman; Florian Jug; Mike Heilemann; Guillaume Jacquemet; Ricardo Henriques
Journal:  Nat Commun       Date:  2021-04-15       Impact factor: 14.919

4.  Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology.

Authors:  Henrik Sahlin Pettersen; Ilya Belevich; Elin Synnøve Røyset; Erik Smistad; Melanie Rae Simpson; Eija Jokitalo; Ingerid Reinertsen; Ingunn Bakke; André Pedersen
Journal:  Front Med (Lausanne)       Date:  2022-01-27

5.  SuRVoS 2: Accelerating Annotation and Segmentation for Large Volumetric Bioimage Workflows Across Modalities and Scales.

Authors:  Avery Pennington; Oliver N F King; Win Min Tun; Elaine M L Ho; Imanol Luengo; Michele C Darrow; Mark Basham
Journal:  Front Cell Dev Biol       Date:  2022-04-01

Review 6.  How innovations in methodology offer new prospects for volume electron microscopy.

Authors:  Arent J Kievits; Ryan Lane; Elizabeth C Carroll; Jacob P Hoogenboom
Journal:  J Microsc       Date:  2022-07-27       Impact factor: 1.952

  6 in total

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