Rose, Annika H
(2017)
Ribbon Scanning Confocal Imaging for High-Speed High-Resolution Imaging of Whole Tissues.
Master's Thesis, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
In the past decade, there has been a growing interest in imaging whole brains in high- resolution in order to comprehensively map neural pathways across the entire brain. Systems research at this scale has previously not been feasible, but due to technological and methodological advancements, many researchers have embraced this data-intensive, large-scale circuit mapping challenge. Current approaches are limited by speed and/or resolution. In this paper, we describe a novel ribbon scanning confocal approach we use to image serial coronal sections of marmoset tissue. We show that this method surpasses the speed of current confocal approaches by at least ten times while obtaining equivalent subcellular resolution. Additionally, this new method virtually eliminates artifacts created by stitching together field of view tiles, generating a more seamless image. Finally, we go on to discuss broader applications of this technology in the application of chemically cleared whole brains, using data from concurrent experiments.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
15 August 2017 |
Date Type: |
Publication |
Defense Date: |
15 July 2017 |
Approval Date: |
15 August 2017 |
Submission Date: |
27 July 2017 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
47 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Medicine > Neurobiology |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
confocal, microscopy, whole-brain |
Date Deposited: |
15 Aug 2017 12:59 |
Last Modified: |
15 Aug 2017 12:59 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/33097 |
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Ribbon Scanning Confocal Imaging for High-Speed High-Resolution Imaging of Whole Tissues. (deposited 15 Aug 2017 12:59)
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