File:Inferring-Biological-Structures-from-Super-Resolution-Single-Molecule-Images-Using-Generative-Models-pone.0036973.s009.ogv

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Inferring-Biological-Structures-from-Super-Resolution-Single-Molecule-Images-Using-Generative-Models-pone.0036973.s009.ogv(Ogg Theora video file, length 8.0 s, 600 × 300 pixels, 5.01 Mbps, file size: 4.78 MB)

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English: HT reconstruction of lines shown in the mask (Fig. 1B) at position noise of 0 and noise densities of 0, 0.002, 0.005, 0.01, 0.02, 0.05.
Date
Source Movie S1 from Maji S, Bruchez M (2012). "Inferring Biological Structures from Super-Resolution Single Molecule Images Using Generative Models". PLOS ONE. DOI:10.1371/journal.pone.0036973. PMID 22629348. PMC: 3358321.
Author Maji S, Bruchez M
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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Date/TimeThumbnailDimensionsUserComment
current11:28, 30 October 20128.0 s, 600 × 300 (4.78 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 240P 365 kbps Completed 19:01, 29 August 2018 11 s
Streaming 240p (VP9) 365 kbps Completed 10:48, 5 December 2023 1.0 s
WebM 360P 687 kbps Completed 15:22, 30 November 2023 2.0 s
Streaming 144p (MJPEG) 958 kbps Completed 18:16, 19 November 2023 1.0 s

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