CORDIS Project
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This project focuses on improving electron cryo-microscopy techniques for biological structure determination. By utilizing convolutional neural networks and prior knowledge of biological structures, it aims to enhance the speed and accuracy of 3D reconstructions while reducing user involvement.
Electron cryo-microscopy (cryo-EM) is the fastest growing technique to explore the structure of biological macromolecules.
To limit radiation damage, images are recorded under low-dose conditions, which leads to high levels of experimental noise.
To reduce the noise, one averages over many images, but this requires alignment and classification algorithms that are robust to the high levels of noise.
When signal-to-noise ratios drop, cryo-EM 3D reconstruction algorithms become susceptible to overf…
UNITED KINGDOM RESEARCH AND INNOVATION
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