Fast and Robust Algorithms in Cryo-Electron Microscopy Imaging — NSF Award to University of California-Davis (CA, $250,000)
Cryo-electron microscopy (cryo-EM) has revolutionized the way scientists uncover the 3D structure of proteins, making critical contributions to our understanding of viruses, cancer, and neurodegenerative diseases. However, despite its transformative potential, cryo-EM is limited by the immense computational cost requir
| Award title | Fast and Robust Algorithms in Cryo-Electron Microscopy Imaging |
|---|---|
| Award ID | 2514152 |
| Awardee | University of California-Davis |
| City | DAVIS |
| State | CA |
| Amount obligated | $250,000 |
| Principal investigator | Yunpeng Shi |
| Program | COMPUTATIONAL MATHEMATICS |
| Start date | 09/01/2025 |
| Abstract | Cryo-electron microscopy (cryo-EM) has revolutionized the way scientists uncover the 3D structure of proteins, making critical contributions to our understanding of viruses, cancer, and neurodegenerative diseases. However, despite its transformative potential, cryo-EM is limited by the immense computational cost required to process the large, noisy, and unstructured image data it generates. This project aims to overcome these barriers by developing robust, efficient, and theoretically guaranteed |
| Source | NSF Awards |
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