The University of Southampton
University of Southampton Institutional Repository

An optimization procedure for spatial and density resolution in hard X-ray micro-computed tomography

Thurner, Philipp J., Beckmann, Felix and Müller, Bert (2004) An optimization procedure for spatial and density resolution in hard X-ray micro-computed tomography Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 225, (4), pp. 599-603. (doi:10.1016/j.nimb.2004.05.027).

Record type: Article


The quality of the X-ray tomogram not only depends on the spatial resolution but also on the density resolution or contrast. Based on the theory of [Nucl. Instr. and Meth. 206 (1983) 541] it is concluded that the density resolution can be substantially improved by merging of pixels, referred to as binning, prior to reconstruction. We demonstrate that the quality of a given 3D-data set, i.e. the tomogram of stained biological cells seeded on a polymer multifilament yarn in phosphate buffered saline, can be optimized with respect to the product of spatial and density resolution – the image quality factor. This procedure improves or even enables the visualization and quantification of selected constituents in the tomogram.

Full text not available from this repository.

More information

Published date: October 2004
Keywords: computerized tomography


Local EPrints ID: 48923
ISSN: 0168-583X
PURE UUID: 0abb6ef2-1894-4a0a-a71c-aa876ab54704

Catalogue record

Date deposited: 18 Oct 2007
Last modified: 17 Jul 2017 14:57

Export record



Author: Felix Beckmann
Author: Bert Müller

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.