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File:Comparison-of-mouse-mammary-gland-imaging-techniques-and-applications-Reflectance-confocal-1471-2407-8-21-S1.ogv

Comparison-of-mouse-mammary-gland-imaging-techniques-and-applications-Reflectance-confocal-1471-2407-8-21-S1.ogv ‎(Ogg Theora video file, length 6.8 s, 508 × 512 pixels, 11.44 Mbps, file size: 9.23 MB)

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English: 3-D rendering of mammary gland terminal end buds. The VivaCell 5000 software acquires multiple high resolution digital image slices vertically through mammary gland morphological structures, such as the terminal end bud, called VivaStacks. The video is a compilation of three VivaStacks, each consisting of 16 images at 1.585 μm increments, which included entire terminal end bud structures. The Volume Viewer plug-in of the ImageJ software (Image Analysis and Processing in Java, the National Institutes of Health, Bethesda, MD) [55] artificially colored the images from the combination of all the stacks and produced a 3-D representation.
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Source Tilli M, Parrish A, Cotarla I, Jones L, Johnson M, Furth P (2008). "Comparison of mouse mammary gland imaging techniques and applications: Reflectance confocal microscopy, GFP Imaging, and ultrasound". BMC Cancer. DOI:10.1186/1471-2407-8-21. PMID 18215290. PMC: 2266934.
Author Tilli M, Parrish A, Cotarla I, Jones L, Johnson M, Furth P
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Date/TimeThumbnailDimensionsUserComment
current20:10, 20 November 20126.8 s, 508 × 512 (9.23 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 480P 568 kbps Completed 12:45, 22 August 2018 12 s
Streaming 480p (VP9) 569 kbps Completed 22:18, 24 January 2024 1.0 s
VP9 360P 264 kbps Completed 12:45, 22 August 2018 11 s
Streaming 360p (VP9) 265 kbps Completed 14:07, 2 February 2024 1.0 s
VP9 240P 145 kbps Completed 12:45, 22 August 2018 10 s
Streaming 240p (VP9) 146 kbps Completed 15:34, 12 December 2023 1.0 s
WebM 360P 231 kbps Completed 20:16, 20 November 2012 9.0 s
Streaming 144p (MJPEG) 1.16 Mbps Completed 10:30, 2 November 2023 1.0 s

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