File:Automated-Filtering-of-Intrinsic-Movement-Artifacts-during-Two-Photon-Intravital-Microscopy-pone.0053942.s014.ogv

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Automated-Filtering-of-Intrinsic-Movement-Artifacts-during-Two-Photon-Intravital-Microscopy-pone.0053942.s014.ogv ‎(Ogg Theora video file, length 42 s, 640 × 360 pixels, 882 kbps, file size: 4.45 MB)

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English: Filtering for movement artifacts using the Intravital_Microscopy_Toolbox improves our ability to visualize fine movements of microglial processes in the mouse brain cortex. The original video (left panel) is compared with videos processed by either Kalman filtering (center panel) or Kalman filtering and x–y transformation using JavaSIFT (right panel). The dashed-line circle marks a blood vessel to better visualize the movement of the object during the imaging period. Microglial cells were pseudo-colored in white based on GFP expression in the Thy1-eCFP; CX3CR1-eGFP transgenic mouse.
Date
Source Video S8 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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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current22:41, 21 January 201342 s, 640 × 360 (4.45 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 285 kbps Completed 14:58, 18 August 2018 33 s
Streaming 360p (VP9) 285 kbps Completed 00:46, 13 January 2024 1.0 s
VP9 240P 137 kbps Completed 14:58, 18 August 2018 26 s
Streaming 240p (VP9) 137 kbps Completed 02:36, 13 December 2023 2.0 s
WebM 360P 504 kbps Completed 00:34, 22 January 2013 43 s
Streaming 144p (MJPEG) 825 kbps Completed 20:37, 30 October 2023 1.0 s

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