About: SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM

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About: SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM Goto Sponge NotDistinct Permalink

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scientific article published on 19 June 2019

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rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2019 (fr) artículu científicu espublizáu en xunu de 2019 (ast) im Juni 2019 veröffentlichter wissenschaftlicher Artikel (de) scientific article published on 19 June 2019 (en) наукова стаття, опублікована 19 червня 2019 (uk)
publication date	wds:Q93031254-8D7214B5-1FAA-40FB-97FB-AA0359B75422
publication date	2019-06-19 00:00:00Z (xsd:dateTime)
cites work	wds:Q93031254-05782ADD-0E9D-4371-8EC9-573F61EADCC2 wds:Q93031254-0999C261-E04E-4479-8763-872F13AC7459 wds:Q93031254-0D8446BE-A08C-45B8-ADFF-696B3EBC19B8 wds:Q93031254-252749D2-23BC-4D45-960C-994F082FD017 wds:Q93031254-2CF52ED2-C07D-48F6-AFBC-E3C4EBCE2E21 wds:Q93031254-35D363D2-B2A2-4C0A-B639-2606020709F2 wds:Q93031254-38117773-9CAF-40BF-ACD9-5EFDBFE9C356 wds:Q93031254-494A92C9-8F01-4693-85B3-6AA3B48BFEFF wds:Q93031254-4C5D01E7-3C17-403B-91E8-1672DEB88485 wds:Q93031254-4CDF57B2-4BFB-4797-B063-829225CBFEC1 wds:Q93031254-600010B9-9332-411A-9B6E-8E865D6865B6 wds:Q93031254-6375C892-6603-4C26-8508-83F746F05E81 wds:Q93031254-637F8252-2E1E-47D1-8D53-AD4545A50ADD wds:Q93031254-666CE8EF-A697-4C2B-A53B-870C95A226E7 wds:Q93031254-6D2FEF82-2FAC-4318-A96A-2B28FC01A0AC wds:Q93031254-8145A13D-954E-4692-85F4-2B2528E5163C wds:Q93031254-81AA7BD2-3537-4D62-AE39-C655178055F3 wds:Q93031254-97BC611F-496B-4404-A6E8-139B1D579DD3 wds:Q93031254-A8ADC427-DB16-4786-823A-0E54030F1334 wds:Q93031254-B655C0D6-88F1-4FEB-BE2E-B041E6094FFE wds:Q93031254-B99AF441-4859-45E4-984B-3CAA918E6DD2 wds:Q93031254-BB73057D-83DB-4D40-983A-349B17955BD2 wds:Q93031254-C14C99C5-C7EA-49E2-AF32-69D5432A2F59 wds:Q93031254-CE4821C4-FEF6-4657-9621-42B98F1DBDBD wds:Q93031254-D2CDDF09-4304-4252-95D8-FD3552D40EA2 wds:Q93031254-D5147367-D2A0-489E-82F0-1F17AB4EF0E3 wds:Q93031254-E2228168-1D91-4804-BFF4-32508D40C1C7 wds:Q93031254-FB1D7B4D-A0AD-463F-86D2-391D20EB09F2 wds:Q93031254-FFACD202-733E-4306-8316-0B47BB50F88C
cites work	DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy Semi-automated selection of cryo-EM particles in RELION-1.3. EMAN2: an extensible image processing suite for electron microscopy RELION: implementation of a Bayesian approach to cryo-EM structure determination Avoiding the pitfalls of single particle cryo-electron microscopy: Einstein from noise Gradient-based learning applied to document recognition Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules Cryo-EM structure of haemoglobin at 3.2 Å determined with the Volta phase plate. Iterative stable alignment and clustering of 2D transmission electron microscope images FindEM--a fast, efficient program for automatic selection of particles from electron micrographs. ImageNet Large Scale Visual Recognition Challenge Volta phase plate cryo-EM of the small protein complex Prx3 A syringe-like injection mechanism in Photorhabdus luminescens toxins. Deep learning in neural networks: an overview Application of template matching technique to particle detection in electron micrographs Scipion: A software framework toward integration, reproducibility and validation in 3D electron microscopy. Automatic particle selection: results of a comparative study Review: automatic particle detection in electron microscopy An approach to automated particle picking from electron micrographs based on reduced representation templates. DeepPicker: A deep learning approach for fully automated particle picking in cryo-EM. An automatic particle pickup method using a neural network applicable to low-contrast electron micrographs. High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE Electron cryo-microscopy structure of the mechanotransduction channel NOMPC. A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy Molecular mechanism of promoter opening by RNA polymerase III. Electron cryo-microscopy structure of the canonical TRPC4 ion channel. Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs YOLO9000: Better, Faster, Stronger
author name string	wds:Q93031254-0EF6271E-5398-4FB0-A2F9-18E306F06DE4 wds:Q93031254-34320F7B-DBEA-48EA-9B8F-87B65EE914DB wds:Q93031254-43C23815-D1B6-4C63-BEE3-E856434613A4 wds:Q93031254-53BC6F74-CEC2-421E-9F19-6F3E650AF6A4 wds:Q93031254-71FC2004-0466-4E21-89CB-AAB049A57DAB wds:Q93031254-79914980-13A9-4C85-9952-224F29E0EAD1 wds:Q93031254-A1FDD295-D6D9-4A31-868E-87951FC92778 wds:Q93031254-A4480C8A-CA66-4217-BFF6-96EEAE36602F wds:Q93031254-AC744735-B640-4DEB-AC46-D2053A042F4D wds:Q93031254-D1989832-6489-4DBD-9180-AD3E9E0A4B03 wds:Q93031254-D84C6D61-D7DD-4649-9700-E9AB696A62BE wds:Q93031254-E634427A-EE37-4A18-9884-FED23B0F1108 wds:Q93031254-FA7C2277-9DEE-48D4-8F2E-420F258463C5
author name string	Tanvir R Shaikh Daniel Prumbaum Evelyn Schubert Toshio Moriya Oleg Sitsel Amir Apelbaum Pascal Lill Daniel Roderer Sebastian Tacke Markus Stabrin Birte Siebolds Claudia Antoni Philine Hagel
rdfs:label	SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (en) SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (nl)
skos:prefLabel	SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (en) SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (nl)
name	SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (en) SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM (nl)
author	wds:Q93031254-21EA765E-47C5-49C1-8C85-C3B3833740D1

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