Alrecon: computed tomography reconstruction web application based on Solara.

Area of Science:

• Scientific Imaging
• Materials Science
• Biotechnology

Background:

• Synchrotron X-ray computed tomography (CT) is a powerful non-destructive 3D imaging technique for studying sample microstructures.
• High spatial and temporal resolution, coupled with specimen preservation, drives demand across diverse scientific disciplines.
• Computed tomography reconstruction, converting radiographs to 3D images, involves complex pre-processing, inverse Radon-transform approximation, and data output.

Purpose of the Study:

• To address the need for efficient and user-friendly tomographic reconstruction processes.
• To integrate data exploration, parameter optimization, and high-performance computing (HPC) resource management.
• To introduce Alrecon, a novel web application for streamlined tomographic reconstruction.

Main Methods:

• Development of Alrecon, a pure Python web application utilizing the Solara framework.
• Integration of popular 3D image visualization tools for intuitive data exploration.
• Implementation of a user-friendly interface for scheduling complex reconstructions on HPC clusters.

Main Results:

• Alrecon provides an intuitive and reactive environment for customizing reconstruction pipelines.
• The application facilitates efficient use of HPC resources for demanding reconstruction tasks.
• It enables visual inspection and interactive selection of optimal reconstruction parameters.

Conclusions:

• Alrecon enhances productivity for beamline users by simplifying the tomographic reconstruction workflow.
• The web application ensures efficient resource utilization for diverse scientific applications.
• Alrecon bridges the gap between complex computational tasks and end-user accessibility in 3D imaging.