File:Automated-Filtering-of-Intrinsic-Movement-Artifacts-during-Two-Photon-Intravital-Microscopy-pone.0053942.s015.ogv
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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)
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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).
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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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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 22:41, 21 January 2013 | 34 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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Update transcode statusFormat | Bitrate | Download | Status | Encode time |
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WebM 360P | 502 kbps | Download file | Completed 00:35, 22 January 2013 | 56 s |
Ogg 360P | 534 kbps | Download file | Completed 23:12, 20 February 2014 | 15 s |
Ogg 160P | 142 kbps | Download file | Completed 23:16, 20 February 2014 | 5.0 s |