File:SARS-CoV-2 Components in Brain Neurons (52565307046).jpg
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Summary[edit]
DescriptionSARS-CoV-2 Components in Brain Neurons (52565307046).jpg |
Immunofluorescent image that shows SARS-CoV-2 components (green) specifically in neurons (magenta) in the hypothalamus of the brain of a person who died from COVID-19. Image captured and colorized at Rocky Mountain Laboratories in Hamilton, Montana. Credit: NIAID See related article, "NIAID Pandemic Autopsy Study Fosters Long COVID Treatment Trial," on the NIAID Now Blog at: <a href="https://www.niaid.nih.gov/news-events/covid-autopsy-study" rel="noreferrer nofollow">www.niaid.nih.gov/news-events/covid-autopsy-study</a> |
Date | |
Source | SARS-CoV-2 Components in Brain Neurons |
Author | NIAID |
Licensing[edit]
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This image was originally posted to Flickr by NIAID at https://flickr.com/photos/54591706@N02/52565307046. It was reviewed on 13 February 2023 by FlickreviewR 2 and was confirmed to be licensed under the terms of the cc-by-2.0. |
13 February 2023
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current | 03:42, 13 February 2023 | 1,907 × 2,251 (1.22 MB) | Poldavia (talk | contribs) | Transferred from Flickr via #flickr2commons |
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Metadata
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.
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Width | 1,907 px |
Height | 2,251 px |
Bits per component |
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Compression scheme | Uncompressed |
Pixel composition | RGB |
Orientation | Normal |
Number of components | 3 |
Horizontal resolution | 300 dpi |
Vertical resolution | 300 dpi |
Data arrangement | chunky format |
Software used | Adobe Photoshop 21.2 (Windows) |
File change date and time | 11:54, 15 December 2022 |
Color space | Uncalibrated |
Date and time of digitizing | 02:12, 15 December 2022 |
Date metadata was last modified | 06:54, 15 December 2022 |
Unique ID of original document | xmp.did:44d51368-853f-274c-8b30-a2f8d864070f |