Bushong, Eric Case, Tom Castillon, Guillaume Deerinck, Thomas J Ellisman, Mark Fujikawa, Nobuko Haberl, Matthias Katchalski, Tsvi Kim, Keun-Young Lawrence, Albert Mackey, Mason Peltier, Steven Ramachandra, Ranjan
Contributor
Bushong, Eric Case, Tom Castillon, Guillaume Deerinck, Thomas J. Ellisman, Mark Fujikawa, Nobuko Haberl, Matthias Katchalski, Tsvi Kim, Keun-Young Lawrence, Albert Mackey, Mason Peltier, Steven Ramachandra, Ranjan
Creative Commons Public Domain Dedication Constraint(s) on Use: This work may be used without prior permission. Use: The person(s) who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Description
Biological samples are frequently stained with heavy metals in preparation for examining the macro, micro and ultra-structure using X-ray microtomography and electron microscopy. A single X-ray microtomography scan reveals detailed 3D structure based on staining density, yet it lacks both material composition and functional information. Using a commercially available polychromatic X-ray source, energy integrating detectors and a two-scan configuration labelled by their energy- High and Low, we demonstrate how a specific element, here shown with iron, can be detected from a mixture with other heavy metals. With proper selection of scan configuration, achieving strong overlap of source characteristic emission lines and iron K-edge absorption, iron absorption was enhanced enabling K-edge imaging. Specifically, iron images were obtained by scatter plot material analysis, after selecting specific regions within scatter plots generated from the High and Low scans. Using this method, we identified iron rich regions associated with an iron staining reaction that marks the nodes of Ranvier along nerve axons within mouse spinal roots, also stained with osmium metal commonly used for electron microscopy. 30kVp with no filtration . Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Katchalski, Tsvi; Case, Tom; Kim, Keun-young; Ramachandra, Ranjan; Bushong, Eric; Deerinck, Thomas J.; Haberl, Matthias; Mackey, Mason; Peltier, Steven; Castillon, Guillaume; Fujikawa, Nobuko; Lawrence, Albert; Ellisman, Mark (2021). CIL:50352, Mus musculus, Spinal cord neuron. In Cell Image Library. UC San Diego Library Digital Collections. Dataset. https://doi.org/10.6075/J0BK19Z2
Type
image
Identifier
ark:/20775/bb5127015d
Language
No linguistic content
Subject
Schwann cell Node of Ranvier Spinal cord neuron Mus musculus Cell Image Library Group ID: 20513
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