File:FishNet-an-online-database-of-zebrafish-anatomy-1741-7007-5-34-S1.ogv

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FishNet-an-online-database-of-zebrafish-anatomy-1741-7007-5-34-S1.ogv(Ogg Theora video file, length 21 s, 800 × 392 pixels, 60 kbps, file size: 154 KB)

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English: Principles of tomographic reconstruction. The sample (blue) has been cleared to allow light to pass through. Light passes through the tissue depending on the depth and density of the tissue. The image collected of the light passing through the sample is a projection image, as used in OPT. If projection images are collected at multiple angles as the sample is rotated the shape of the object can be reconstructed. On the right-hand side of the image the projection images are back projected and as more angles are added they create the shape of the original sample. In this example, 19 different angles are used. Back projection is the simplest method of reconstruction and many of the evident artefacts are removed using the algebraic methods utilized for OPT reconstruction.
Date
Source Bryson-Richardson R, Berger S, Schilling T, Hall T, Cole N, Gibson A, Sharpe J, Currie P (2007). "FishNet: an online database of zebrafish anatomy". BMC Biology. DOI:10.1186/1741-7007-5-34. PMID 17705855. PMC: 2031877.
Author Bryson-Richardson R, Berger S, Schilling T, Hall T, Cole N, Gibson A, Sharpe J, Currie P
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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
current12:40, 31 August 201321 s, 800 × 392 (154 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 360P 20 kbps Completed 21:30, 26 August 2018 2.0 s
Streaming 360p (VP9) 20 kbps Completed 04:50, 17 March 2024 1.0 s
VP9 240P 14 kbps Completed 21:30, 26 August 2018 2.0 s
Streaming 240p (VP9) 14 kbps Completed 12:36, 21 December 2023 0.0 s
WebM 360P 94 kbps Completed 12:40, 31 August 2013 3.0 s
Streaming 144p (MJPEG) 50 kbps Completed 00:06, 12 November 2023 0.0 s

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