File:Inferring-Biological-Structures-from-Super-Resolution-Single-Molecule-Images-Using-Generative-Models-pone.0036973.s014.ogv
Inferring-Biological-Structures-from-Super-Resolution-Single-Molecule-Images-Using-Generative-Models-pone.0036973.s014.ogv (Ogg Theora video file, length 8.0 s, 800 × 400 pixels, 5.68 Mbps, file size: 5.42 MB)
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[edit]DescriptionInferring-Biological-Structures-from-Super-Resolution-Single-Molecule-Images-Using-Generative-Models-pone.0036973.s014.ogv |
English: HT reconstruction of circles shown in the mask (Fig. 1C) at position noise of 2 and noise densities of 0, 0.002, 0.005, 0.01, 0.02, 0.05. |
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Source | Movie S6 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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current | 11:30, 30 October 2012 | 8.0 s, 800 × 400 (5.42 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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Author | Maji S, Bruchez M |
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Usage terms | http://creativecommons.org/licenses/by/3.0/ |
Image title | HT reconstruction of circles shown in the mask (Fig. 1C) at position noise of 2 and noise densities of 0, 0.002, 0.005, 0.01, 0.02, 0.05. |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2012 |