Cryo-electron microscopy (cryo-EM) is used in molecular biology to visualize 3D molecular structures from noisy 2D electron microscope images.
A novel 3D reconstruction framework named CryoSPIRE, inspired by Gaussian Splatting for 4D scene reconstruction, has been introduced for handling non-rigid conformational flexibility and compositional variations in imaged particles.
CryoSPIRE utilizes a hierarchical Gaussian mixture model to infer a part-based segmentation of particles, which helps in dealing with conformational and compositional variability.
The framework has shown the capability to reveal biologically significant structures in complex experimental datasets and has set a new benchmark on CryoBench, a cryo-EM heterogeneity methods benchmark.