html.pl: A simple HTML package for Prolog and CLP systems

We describe a simple, public domain, HTML package for LP/CLP systems. The package allows generating HTML documents easily from LP/CLP systems, including HTML forms. It also provides facilities for parsing the input provided by HTML forms, as well as for creating standalone form handlers. The purpose of this document is to serve as a user's manual as well as a short description of the capabilities of the package. The package was originally developed for SICStus Prolog and the UPM &-Prolog/CIAO systems, but has been adapted to a number of popular LP/CLP systems. The document is also a WWW/HTML primer, containing sufficient information for developing medium complexity WWW applications in Prolog and other LP and CLP languages.

Beyond filtered backprojection: a reconstruction software package for ion beam microtomography data

A new version of the TomoRebuild data reduction software package is presented, for the reconstruction of scanning transmission ion microscopy tomography (STIMT) and particle induced X-ray emission tomography (PIXET) images. First, we present a state of the art of the reconstruction codes available for ion beam microtomography. The algorithm proposed here brings several advantages. It is a portable, multi-platform code, designed in C++ with well-separated classes for easier use and evolution. Data reduction is separated in different steps and the intermediate results may be checked if necessary. Although no additional graphic library or numerical tool is required to run the program as a command line, a user friendly interface was designed in Java, as an ImageJ plugin. All experimental and reconstruction parameters may be entered either through this plugin or directly in text format files. A simple standard format is proposed for the input of experimental data. Optional graphic applications using the ROOT interface may be used separately to display and fit energy spectra. Regarding the reconstruction process, the filtered backprojection (FBP) algorithm, already present in the previous version of the code, was optimized so that it is about 10 times as fast. In addition, Maximum Likelihood Expectation Maximization (MLEM) and its accelerated version Ordered Subsets Expectation Maximization (OSEM) algorithms were implemented. A detailed user guide in English is available. A reconstruction example of experimental data from a biological sample is given. It shows the capability of the code to reduce noise in the sinograms and to deal with incomplete data, which puts a new perspective on tomography using low number of projections or limited angle.