File:Deep-Learning-Automates-the-Quantitative-Analysis-of-Individual-Cells-in-Live-Cell-Imaging-pcbi.1005177.s021.ogv

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Original file (Ogg Theora video file, length 6.4 s, 1,220 × 1,020 pixels, 2.78 Mbps, file size: 2.13 MB)

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English: Phase images of HeLa-S3 cells expressing the JNK-KTR.
Date
Source S3 Movie from Van Valen D, Kudo T, Lane K, Macklin D, Quach N, DeFelice M, Maayan I, Tanouchi Y, Ashley E, Covert M (2016). "Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments". PLOS Computational Biology. DOI:10.1371/journal.pcbi.1005177. PMID 27814364. PMC: 5096676.
Author Van Valen D, Kudo T, Lane K, Macklin D, Quach N, DeFelice M, Maayan I, Tanouchi Y, Ashley E, Covert M
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Date/TimeThumbnailDimensionsUserComment
current12:22, 31 January 20176.4 s, 1,220 × 1,020 (2.13 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 384 kbps Completed 18:45, 23 August 2018 6.0 s
VP9 480P 174 kbps Completed 18:45, 23 August 2018 4.0 s
VP9 360P 93 kbps Completed 18:45, 23 August 2018 4.0 s
VP9 240P 43 kbps Completed 18:45, 23 August 2018 2.0 s
WebM 360P 512 kbps Completed 12:22, 31 January 2017 3.0 s
QuickTime 144p (MJPEG) 150 kbps Completed 01:07, 22 October 2024 1.0 s

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