Quantitative phase-contrast X-ray micro CT for visualization of mouse lymph nodes

Mirko Riedel, Jörg U. Hammel, Julian Moosmann, Felix Beckmann, Florian Schwarzenberg, Paul Schuetz, Stephan Henne, Clemens Wülfing, Madleen Busse, Julia Herzen

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

2 Scopus citations

Abstract

Previously, we designed a new quantitative phase-contrast setup for the microtomography experiments at the hereon beamlines P05 and P07 at PETRA III, DESY. This setup is based on Talbot array illuminators (TAI) as high visibility wavefront markers and can reach a spatial resolution level comparable to propagation-based imaging. In this work, we focus on the progress of bringing this setup into user operation. We collaborated with INI-Research to investigate the vascular system of mouse lymph nodes, exploiting the spatial resolution capabilities and using the quantitative aspect of the data to compare different sample preparation methods. We could successfully visualize and trace the blood supply of the lymph nodes, even with fine capillaries, showing the stability and performance of the setup in user application.

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

  • Talbot array illuminator
  • X-ray tomography
  • lymph nodes
  • phase-contrast
  • speckle-based imaging

Fingerprint

Dive into the research topics of 'Quantitative phase-contrast X-ray micro CT for visualization of mouse lymph nodes'. Together they form a unique fingerprint.

Cite this