File:A-versatile-pipeline-for-the-multi-scale-digital-reconstruction-and-quantitative-analysis-of-3D-elife-11214-media2.ogv
From Wikimedia Commons, the free media repository
Jump to navigation
Jump to search
Size of this JPG preview of this OGG file: 723 × 600 pixels. Other resolutions: 289 × 240 pixels | 579 × 480 pixels | 868 × 720 pixels.
Original file (Ogg Theora video file, length 1 min 24 s, 868 × 720 pixels, 2.82 Mbps, file size: 28.42 MB)
File information
Structured data
Captions
Summary
[edit]DescriptionA-versatile-pipeline-for-the-multi-scale-digital-reconstruction-and-quantitative-analysis-of-3D-elife-11214-media2.ogv |
English: Reconstruction of all imaged structures in a high-resolution image. A 2x2 stitched (~ 400 μm × 400 μm × 100 μm) high-resolution image (0.3 μm × 0.3 μm × 0.3 μm per voxel) was used. First, the reconstruction of the large vessels, that is, central vein (CV) (cyan), portal vein (PV) (orange) and bile duct (green) are shown. Then, raw images and the corresponding reconstructed objects of the different structures are shown sequentially: sinusoids (magenta), BC (green), nuclei (random colours) and cells (random colours). Additionally, central lines are shown for the tubular structures. Finally, all segmented structures are shown. This video provides a complete over view of the reconstructed objects in a typical high-resolution image.
DOI: https://dx.doi.org/10.7554/eLife.11214.022 |
||
Date | |||
Source | Video 2. from Morales-Navarrete H, Segovia-Miranda F, Klukowski P, Meyer K, Nonaka H, Marsico G, Chernykh M, Kalaidzidis A, Zerial M, Kalaidzidis Y (2015). "A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture". eLife. DOI:10.7554/eLife.11214. PMID 26673893. PMC: 4764584. | ||
Author | Morales-Navarrete H, Segovia-Miranda F, Klukowski P, Meyer K, Nonaka H, Marsico G, Chernykh M, Kalaidzidis A, Zerial M, Kalaidzidis Y | ||
Permission (Reusing this file) |
This file is licensed under the Creative Commons Attribution 4.0 International license.
|
||
Provenance InfoField |
|
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 04:48, 29 February 2016 | 1 min 24 s, 868 × 720 (28.42 MB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
You cannot overwrite this file.
File usage on Commons
The following page uses this file:
Transcode status
Update transcode statusMetadata
This file contains additional information such as Exif metadata which may have been added by the digital camera, scanner, or software program used to create or digitize it. If the file has been modified from its original state, some details such as the timestamp may not fully reflect those of the original file. The timestamp is only as accurate as the clock in the camera, and it may be completely wrong.
Short title | Reconstruction of all imaged structures in a high-resolution image. |
---|---|
Author | Morales-Navarrete H, Segovia-Miranda F, Klukowski P, Meyer K, Nonaka H, Marsico G, Chernykh M, Kalaidzidis A, Zerial M, Kalaidzidis Y |
Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | A 2x2 stitched (~ 400 μm × 400 μm × 100 μm) high-resolution image (0.3 μm × 0.3 μm × 0.3 μm per voxel) was used. First, the reconstruction of the large vessels, that is, central vein (CV) (cyan), portal vein (PV) (orange) and bile duct (green) are shown. Then, raw images and the corresponding reconstructed objects of the different structures are shown sequentially: sinusoids (magenta), BC (green), nuclei (random colours) and cells (random colours). Additionally, central lines are shown for the tubular structures. Finally, all segmented structures are shown. This video provides a complete over view of the reconstructed objects in a typical high-resolution image.
DOI: http://dx.doi.org/10.7554/eLife.11214.022 |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2015-12-27 |