When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui.

X-ray computed tomography (CT) experiments performed at synchrotron radiation facilities require adequate computing and storage resources due to the large amount of acquired and reconstructed data produced. To satisfy the heterogeneous needs of beamline users, flexible solutions are also required. Moreover, the growing demand of quantitative image analysis impose an easy integration between the CT reconstruction process and the subsequent feature extraction step. This paper presents some of the software solutions adopted by the SYRMEP beamline of the Italian synchrotron radiation facility Elettra. By using the enhanced version of the reconstruction software here presented as well as data reduction and data analysis tools, beamline users can easily implement an integrated and comprehensive approach to the digital image processing and image analysis required by a tomography-oriented scientific workflow

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This paper proposes the concept of enactive system as an alternative to the standard human-computer system and elaborates the idea of content mediation as enactive media. The authors' system consists of the two elements coupled in a holistic manner by means of bodily and spatial involvement, or enactment. Such a system is recursive by nature, involving the impact of the technology on the human agent as well as the effect of the human experience on the technology. Instead of the standard explicit interface, there is an implicit connecting surface, based on unconscious psycho-physiological reactions. The aim is not only to point out an analytic approach to existing media systems but also to develop radically novel media concepts implied by the enactive systems.

Purpose – The purpose of this paper is to review the literature on the growth drivers of start-up firms from the process perspective. Increasing scholarly attention to the growth of start-up firms has led to a more sophisticated understanding of their drivers. However, the richness of the results is partly offset by both potential and real contradictions in the literature.\ud Design/methodology/approach – In this paper, 233 studies on the growth of start-up firms are reviewed using a process-oriented lens.\ud Findings – The analysis reveals an imbalance in the use of variance-based empirical approaches to study the process-based phenomenon and some misalignments in the use of non-process-based empirical approaches to improve a process-based theory.\ud Originality/value – This paper offers an original perspective from which to reconsider the relevant literature and provides useful recommendations for researchers to forge a path ahead in this field. Keywords Literature review, Start-ups, Firm growth, High-growth firms, Process view\ud Paper type Literature revie