SFF Analysis of Small Angle Scattering Data from Phospholipid Vesicle Systems: Parallel Implementation and Online Interface
Bashashin M. Zemlyanaya E. Kiselev M. Lukyanov K. Turapbay K.
October 2022Pleiades Publishing
Physics of Particles and Nuclei Letters
2022#19Issue 5554 - 557 pp.
Abstract: The study of phospholipid vesicles is one of the hot topics of modern nano- and biophysics in connection with numerous applications of these objects in medicine, pharmacology, and cosmetology. One of the most effective and intensively used methods for studying the structure and properties of vesicles from small-angle neutron scattering (SANS) data is the separated form factors (SFF) method. Two program complexes developed for the effective SFF analysis of SANS data are presented. The MPI-based parallel implementation accelerates calculations by 6–16 times; the Windows-based online interface provides convenient work with the respective local minimization procedure. The perspective of extending of this tool within the JINR MICC HybriLIT platform is discussed.
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Joint Institute for Nuclear Research, Dubna, Russian Federation
Dubna State University, Dubna, Russian Federation
National Research Oncology Center, Nur-Sultan, Kazakhstan
Joint Institute for Nuclear Research
Dubna State University
National Research Oncology Center
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