File:Multispectral-fingerprinting-for-improved-in-vivo-cell-dynamics-analysis-1471-213X-10-101-S2.ogv

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Multispectral-fingerprinting-for-improved-in-vivo-cell-dynamics-analysis-1471-213X-10-101-S2.ogv ‎(Ogg Theora video file, length 7.7 s, 112 × 71 pixels, 18 kbps, file size: 17 KB)

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English: Time-lapse analysis reveals that single-colored individual neural crest cells are difficult to follow when cell trajectories cross. Cranial NC cells migrate from the neural tube (right-hand side) towards a peripheral target (left-hand side). During the migration process, NC cells may cross trajectories (at the same place and time), making it difficult to precisely follow both cell trajectories when the neighboring cells move apart. During this typical time-lapse sequence (n = 8), two NC cells cross paths, then move apart, making it difficult to determine which cell is which by both visual inspection and an automated cell tracking algorithm. The time between frames is 5 min and the total time is approximately 2 hrs. Each cell nucleus (H2B-RFP labeled) is approximately 10 um.
Date
Source Video file from Kulesa P, Teddy J, Smith M, Alexander R, Cooper C, Lansford R, McLennan R (2010). "Multispectral fingerprinting for improved in vivo cell dynamics analysis". BMC Developmental Biology. DOI:10.1186/1471-213X-10-101. PMID 20868502. PMC: 2954993.
Author Kulesa P, Teddy J, Smith M, Alexander R, Cooper C, Lansford R, McLennan R
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This file is licensed under the Creative Commons Attribution 2.0 Generic 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
current16:26, 6 February 20177.7 s, 112 × 71 (17 KB)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 240P Not ready Unknown status
Streaming 240p (VP9) 5 kbps Completed 12:53, 3 February 2024 2.0 s
WebM 360P 6 kbps Completed 01:17, 2 December 2023 1.0 s
Streaming 144p (MJPEG) 38 kbps Completed 06:37, 15 November 2023 0.0 s

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