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File:Automated-Filtering-of-Intrinsic-Movement-Artifacts-during-Two-Photon-Intravital-Microscopy-pone.0053942.s015.ogv

Automated-Filtering-of-Intrinsic-Movement-Artifacts-during-Two-Photon-Intravital-Microscopy-pone.0053942.s015.ogv ‎(Ogg Theora video file, length 34 s, 640 × 360 pixels, 886 kbps, file size: 3.55 MB)

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English: Filtering for movement artifacts and improvement of the signal-to-noise ratio of an in vivo time-lapse video of the mouse lumbar spinal cord taken through a spinal cord window preparation. The original video (left panel) is compared with a video processed by Kalman filtering (right panel). As illustrated here, the Kalman filter option is particularly useful when the noise is predominant in the video, and when objects don’t move too fast from frame to frame. Using the Kalman filter in movies showing fast moving objects may generate motion blur artifacts. The chronic spinal cord window chamber was implemented based on the method of Farrar et al. (2012).
Date
Source Video S9 from Soulet D, Paré A, Coste J, Lacroix S (2013). "Automated Filtering of Intrinsic Movement Artifacts during Two-Photon Intravital Microscopy". PLOS ONE. DOI:10.1371/journal.pone.0053942. PMID 23326545. PMC: 3543396.
Author Soulet D, Paré A, Coste J, Lacroix S
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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
current22:41, 21 January 201334 s, 640 × 360 (3.55 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 360P 217 kbps Completed 14:58, 18 August 2018 34 s
Streaming 360p (VP9) 218 kbps Completed 00:46, 13 January 2024 1.0 s
VP9 240P 83 kbps Completed 14:58, 18 August 2018 20 s
Streaming 240p (VP9) 84 kbps Completed 02:36, 13 December 2023 1.0 s
WebM 360P 502 kbps Completed 00:35, 22 January 2013 56 s
Streaming 144p (MJPEG) 826 kbps Completed 20:37, 30 October 2023 1.0 s

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