File:MRI-Based-Localisation-and-Quantification-of-Abscesses-following-Experimental-S.-aureus-Intravenous-pone.0154705.s006.ogv

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MRI-Based-Localisation-and-Quantification-of-Abscesses-following-Experimental-S.-aureus-Intravenous-pone.0154705.s006.ogv(Ogg Theora video file, length 15 s, 512 × 512 pixels, 916 kbps, file size: 1.6 MB)

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Description
English: MRI video showing images of kidneys obtained three days after infection. The video is of kidneys reconstructed in one plane. The video goes from the top to the bottom of the agar tube containing kidneys which was used for analysis.
Date
Source S2 Video from Allen E, van Diemen P, Yamaguchi Y, Lindemann C, Soilleux E, Rollier C, Hill F, Schneider J, Wyllie D (2016). "MRI Based Localisation and Quantification of Abscesses following Experimental S. aureus Intravenous Challenge: Application to Vaccine Evaluation". PLOS ONE. DOI:10.1371/journal.pone.0154705. PMID 27228181. PMC: 4881890.
Author Allen E, van Diemen P, Yamaguchi Y, Lindemann C, Soilleux E, Rollier C, Hill F, Schneider J, Wyllie D
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(Reusing this file)
w:en:Creative Commons
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This file is licensed under the Creative Commons Attribution 4.0 International license.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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WikiProject Open Access

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Date/TimeThumbnailDimensionsUserComment
current04:37, 13 October 201615 s, 512 × 512 (1.6 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 480P 420 kbps Completed 11:08, 2 September 2018 9.0 s
Streaming 480p (VP9) Not ready Unknown status
VP9 360P 191 kbps Completed 11:08, 2 September 2018 7.0 s
Streaming 360p (VP9) Not ready Unknown status
VP9 240P 88 kbps Completed 11:08, 2 September 2018 5.0 s
Streaming 240p (VP9) 88 kbps Completed 22:26, 17 January 2024 1.0 s
WebM 360P 502 kbps Completed 04:37, 13 October 2016 6.0 s
Streaming 144p (MJPEG) 549 kbps Completed 09:59, 10 November 2023 1.0 s

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