File:Agent-Based-Model-of-Human-Alveoli-Predicts-Chemotactic-Signaling-by-Epithelial-Cells-during-Early-pone.0111630.s008.ogv

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Original file ‎(Ogg Theora video file, length 24 s, 1,280 × 720 pixels, 459 kbps, file size: 1.33 MB)

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Description
English: Virtual infection scenario with persistent random walk migration of alveolar macrophages. Alveolar macrophages (green) perform persistent random walk migration with parameters and in order to find the conidium of A. fumigatus (red) in the alveolus. In a time period of the alveolar macrophages did not complete the first-passage. The video is sampled at a rate of 25 frames per second and the time between two frames corresponds to real time.
Date
Source Video S2 from Pollmacher J, Figge M (2014). "Agent-Based Model of Human Alveoli Predicts Chemotactic Signaling by Epithelial Cells during Early Aspergillus fumigatus Infection". PLOS ONE. DOI:10.1371/journal.pone.0111630. PMID 25360787. PMC: 4216106.
Author Pollmacher J, Figge M
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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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Date/TimeThumbnailDimensionsUserComment
current04:03, 14 November 201424 s, 1,280 × 720 (1.33 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 720P 248 kbps Completed 22:55, 16 August 2018 15 s
Streaming 720p (VP9) 248 kbps Completed 07:17, 25 January 2024 1.0 s
VP9 480P 122 kbps Completed 22:55, 16 August 2018 15 s
Streaming 480p (VP9) 122 kbps Completed 16:58, 17 December 2023 1.0 s
VP9 360P 72 kbps Completed 22:55, 16 August 2018 10 s
Streaming 360p (VP9) 72 kbps Completed 23:47, 1 January 2024 1.0 s
VP9 240P 47 kbps Completed 22:55, 16 August 2018 9.0 s
Streaming 240p (VP9) 47 kbps Completed 18:31, 9 December 2023 1.0 s
WebM 360P 295 kbps Completed 04:03, 14 November 2014 12 s
Streaming 144p (MJPEG) 761 kbps Completed 23:51, 29 October 2023 2.0 s

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