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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationDevelopments in X-Ray Tomography XIV
EditorsBert Muller, Ge Wang
PublisherSPIE
ISBN (Electronic)9781510654686
DOIs
StatePublished - 2022
EventDevelopments in X-Ray Tomography XIV 2022 - San Diego, United States
Duration: 22 Aug 202224 Aug 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12242
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceDevelopments in X-Ray Tomography XIV 2022
Country/TerritoryUnited States
CitySan Diego
Period22/08/2224/08/22

Keywords

  • Ptychographic Computed Tomography
  • material decomposition
  • quantitative imaging
  • staining

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