Fabia Gozzo is a physicist with over 30 years of experience in synchrotron-based X-ray diffraction. After research positions at Lawrence Berkeley National Laboratory, Intel, and the Paul Scherrer Institute—where she developed one of the world's leading powder diffractometers—she founded Excelsus Structural Solutions to bring advanced synchrotron analytics to industry. She has authored over 90 scientific publications and is internationally recognized as an expert and advisor in synchrotron-based structural characterization.
MS in Physics, University of Bari, Italy
PhD in Physics, EPFL, Lausanne, Switzerland

Synchrotron X-Ray Powder Diffraction (XRPD) enables a level of structural insight that extends well beyond routine phase identification. This presentation will concentrate on advanced detection and quantification methodologies, including trace-level crystalline phase analysis and robust quantitative phase assessment performed with synchrotron accuracy and carefully designed calibration strategies.
Recent methodological developments, including high-throughput synchrotron XRPD workflows, will be briefly discussed as part of a broader effort to combine analytical rigor with efficiency, without compromising data quality. These advances expand the practical applicability of synchrotron XRPD while maintaining the resolution, sensitivity, and reliability required for complex pharmaceutical materials.
An overview of additional capabilities and emerging developments will be provided, including applications relevant to intellectual property and legal contexts, where structurally sound and quantitatively defensible data are essential.

Dr. Dmitry I. Svergun

Education/degrees
1980: MSc in Solid state physics, Physics Department, Moscow State University, Moscow, Russia
1982: PhD in Physics and Mathematics, Institute of Crystallography (ICRAS), Moscow, Russia,
1997: Dr. Science in Physics and Mathematics (advanced degree), ICRAS, Moscow, Russia

Employment
1980-2008: Engineer, Researcher, Senior Scientist, ICRAS, Moscow, Russia.
1990-1991: Guest scientist, GKSS Research Center, Geesthacht, Germany.
1991-2022: Visiting fellow, Staff Scientist, Team Leader, Group Leader, Senior Scientist, Joint Head of Research Infrastructures, European Molecular Biology Laboratory, Hamburg Unit, Germany
2014-now: CEO, BIOSAXS GmbH, Hamburg, Germany

Specialization: Structure analysis of condensed matter, in particular, biopolymers in solution, by scattering of X-rays and neutrons; Numerical methods, programming, biophysics.

Honors and awards
2010: International Rusnanoprize for methods development in nanodiagnostics
2018: International Guinier prize for lifetime achievements in small-angle scattering

Publications: over 1000 scientific papers, reviews and book chapters, 3 monographs, h-index over 110.

Small-angle X-ray scattering (SAXS) is a powerful technique for the investigation of biological macromolecules in solution and nanostructured systems. It enables the structural analysis of native particles and complexes and allows rapid assessment of structural changes induced by variations in external conditions. The development of dedicated high-brilliance synchrotron beamlines and advanced data collection and analysis methodologies has significantly enhanced the resolution and reliability of SAXS-based structural models. A key strength of SAXS lies in its ability to quantitatively characterize complex systems under native conditions, thereby enabling the observation of biomolecules in action through real-time monitoring of their responses to changes in physical and chemical parameters, such as pH, temperature, or ligand binding.
Although SAXS typically provides low-resolution quaternary structural information, it is uniquely suited for the analysis of equilibrium mixtures and for the visualization of flexible or disordered regions that are often inaccessible to high-resolution techniques. Furthermore, SAXS can be readily integrated with computational, biophysical, and biochemical methods. In hybrid modeling approaches, it effectively incorporates high-resolution structural information obtained from crystallography, NMR spectroscopy, cryo-electron microscopy, and AlphaFold predictions.
In this presentation, modern SAXS data analysis methodologies implemented in the comprehensive software package ATSAS will be introduced. Particular emphasis will be placed on SAXStant, a novel ATSAS-based artificial intelligence tool designed to assist users in extracting structural information from experimental scattering data. The application of these methods will be demonstrated through selected examples highlighting the structural characterization and conformational transitions of pharmaceutically relevant macromolecules and complexes in solution.