The SIBYLS Beamline is an NIH and DOE-funded beamline specializing in the collection of scattering data from biological samples. Major funding is provided through the NIH program grant ALS-ENABLE, and the DOE-funded IDAT program:

The Integrated Diffraction Analysis Technologies (IDAT) resource will improve and apply Department of Energy (DOE) established, synchrotron-based technologies for biological DOE missions. IDAT is built on two key advantages of synchrotrons: bright tunable wavelength X-rays and a community of complementary beamlines. IDAT utilizes these synchrotron resources to understand, at multiple scales, how biomolecules enable their chemistry for cellular outcomes. Uniquely, IDAT delivers small angle X-ray scattering (SAXS – SIBYLS beamline) as functionally critical data on macromolecular conformations and assemblies and as a bridge between atomic resolution macromolecular crystallography (MX –beamline 8.3.1) and Soft X-ray Tomography (SXT – NCXT beamline). Using powerful computational tools, IDAT integrates data from these beamlines and other techniques. In this renewal, the IDAT team has increased collaborations with investigators working in DOE BER areas of interest. The collaborations seek to elucidate actionable insights into metabolic pathways, microbial compartmentalization, how DNA organization affects transcription, microbial based carbon sequestration, and rational redesign of enzyme biochemistry for valued bioproducts. Empowered by IDAT, collaborators gain understanding of how the chemo-spatial structure of multi-component biomolecules enables the dynamic regulation of these processes. Guided by its DOE BER collaborations, this IDAT renewal has three primary aims: 1) To advance structural investigation aiding DOE BER programs by efficiently providing informative SAXS data and by integrating SAXS, MX, and SXT. 2) To develop, test, and deploy productive SAXS and MX facilities. 3) To gain novel insights by innovating and developing new computational tools for integrated interpretation of SAXS, MX, and SXT data.