Speaker
Description
This talk discusses information fusion algorithms for biomolecular structure determination using data obtained from both Small-Angle X-Ray Scattering (SAXS) and Single-Particle Electron Microscopy (EM). As a precursor to information fusion, methods for cross-validation to ensure data consistency are first addressed. As such, the theories behind SAXS and EM data acquisition are both reviewed. Whereas the information content in a set of class-averaged EM images is much higher than that of SAXS, it is shown that SAXS nevertheless can be used to cover ``blind spots'' resulting from cones of missing projection directions in EM.
Acknowledgments: This work was funded under grant NIH R01GM113240. The collaborations with the co-authors on the papers listed below are greatly appreciated.
References
Lyu, S., Wuelker, C., Jayaraman, A.S., Cai, Y., Zheng, J., Chirikjian, G.S., ``Information Fusion Between SAX and EM,'' (in preparation), 2019
Kim, J.S., Afsari, B., Chirikjian, G.S., ``Cross-Validation of Data Compatibility Between SAXS and Cryo-EM,'' Journal of Computational Biology, 24(1):13--30, 2017.
Dong, H., Kim, J.S., Chirikjian, G.S., ``Computational Analysis of SAXS Data Acquisition,'' Journal of Computational Biology, 22(9): 787-805, 2015.
