A fully open source software program for automated two‐dimensional and one‐dimensional data reduction and preliminary analysis of isotropic small‐angle X‐ray scattering (SAXS) data is presented. The program is freely distributed, following the open‐source philosophy, and does not rely on any commercial software packages. BioXTAS RAW is a fully automated program that, via an online feature, reads raw two‐dimensional SAXS detector output files and processes and plots data as the data files are created during measurement sessions. The software handles all steps in the data reduction. This includes mask creation, radial averaging, error bar calculation, artifact removal, normalization and q calibration. Further data reduction such as background subtraction and absolute intensity scaling is fast and easy via the graphical user interface. BioXTAS RAW also provides preliminary analysis of one‐dimensional data in terms of the indirect Fourier transform using the objective Bayesian approach to obtain the pair‐distance distribution function, PDDF, and is thereby a free and open‐source alternative to existing PDDF estimation software. Apart from the TIFF input format, the program also accepts ASCII‐format input files and is currently compatible with one‐dimensional data files from SAXS beamlines at a number of synchrotron facilities. BioXTAS RAW is written in Python with C++ extensions.
This manuscript presents, for the first time, the method of automated structural analysis of biomolecules in solution on a microfluidic chip. A polymer-based micrototal analysis system for high-throughput Small-Angle X-ray Scattering (SAXS) data collection from biological macromolecules has been developed. The bioXTAS chip features an integrated X-ray transparent 200 nL sample chamber and diffusion-based mixing of protein and buffer solutions. Software for fully automated fluidic control, data acquisition, and data analysis has been developed. The proof-of concept is based on data using bovine serum albumin as the model system. It confirms the quality of SAXS data generated from small sample volumes and furthermore validates the on-chip mixing capabilities. SAXS data on the gradual unfolding of BSA induced by an anionic surfactant exemplifies how the bioXTAS chip can be used to follow and identify structural changes and proves the feasibility of high-throughput structural analysis in solution. In total, this shows that the bioXTAS chip has the potential for becoming a powerful tool for automated high-throughput structural analysis of macromolecular systems.
A new microfluidic sample-preparation system is presented for the structural investigation of proteins using small-angle X-ray scattering (SAXS) at synchrotrons. The system includes hardware and software features for precise fluidic control, sample mixing by diffusion, automated X-ray exposure control, UV absorbance measurements and automated data analysis. As little as 15 ml of sample is required to perform a complete analysis cycle, including sample mixing, SAXS measurement, continuous UV absorbance measurements, and cleaning of the channels and X-ray cell with buffer. The complete analysis cycle can be performed in less than 3 min. Bovine serum albumin was used as a model protein to characterize the mixing efficiency and sample consumption of the system. The N2 fragment of an adaptor protein (p120-RasGAP) was used to demonstrate how the device can be used to survey the structural space of a protein by screening a wide set of conditions using high-throughput techniques.research papers
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