New Algorithms Extract Biological Structure from Limited Data
![](https://biosciences.lbl.gov/wp-content/uploads/2017/07/ResizedImage600275-M-TIP-Fig.2.png)
A cross-disciplinary effort by Berkeley Lab scientists has yielded a new algorithmic approach for determining 3D molecular structures from single-particle X-ray free-electron laser (XFEL) imaging. Peter Zwart of the Molecular Biophysics & Integrated Bioimaging Division (MBIB) worked with James Sethian and Jeffrey Donatelli of the Computational Research Division’s Mathematics Group to create the multi-tiered iterative phasing (M-TIP) framework, which uses advanced mathematical techniques to extract nano-scale biological structures from sparse and noisy diffraction data. A paper detailing the approach was published in the Proceedings of the National Academy of Sciences.
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