Presentation + Paper
14 October 2022 Investigation of x-ray stains with near-field ptychographic computed tomography
Kirsten Taphorn, Madleen Busse, Johannes Brantl, Benedikt Günther, Ana Diaz, Mirko Holler, Martin Dierolf, Franz Pfeiffer, Julia Herzen
Author Affiliations +
Abstract
A novel approach for the localization of X-ray stains in individual cells with ptychographic computed tomography was recently demonstrated. With a basis material decomposition in the image domain the quantitative stain concentration can be retrieved with nanoscopic resolution. So far, the approach was demonstrated for two different staining elements, but it has the potential to be easily applied to other contrast agents. The noise in the resulting basis materials depends on the one hand on the noise in the original data, and is furthermore given by the basis materials and specifically their attenuation properties and electron density. In this work, we theoretically predict the standard deviation in basis material images for several heavy elements. This is done by applying the material decomposition algorithm to an experimental data set. It was found that for more electron dense materials the decomposition should have lower noise in the basis material image of the stain. Furthermore, the energy used for the measurement impacts the standard deviation in the basis material images especially for materials with low atomic number, for which therefore lower X-ray energy should be used for data acquisition.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kirsten Taphorn, Madleen Busse, Johannes Brantl, Benedikt Günther, Ana Diaz, Mirko Holler, Martin Dierolf, Franz Pfeiffer, and Julia Herzen "Investigation of x-ray stains with near-field ptychographic computed tomography", Proc. SPIE 12242, Developments in X-Ray Tomography XIV, 1224206 (14 October 2022); https://doi.org/10.1117/12.2634134
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KEYWORDS
X-rays

Tissues

X-ray imaging

Computed tomography

Chemical elements

Phase contrast

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