Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques

arXiv:2403.17293v1 Announce Type: cross
Abstract: Understanding the structures of biological macromolecules is highly important as they are closely associated with cellular functionalities. Comprehending the precise organization actin filaments is crucial because they form the dynamic cytoskeleton, which offers structural support to cells and connects the cell's interior with its surroundings. However, determining the precise organization of actin filaments is challenging due to the poor quality of cryo-electron tomography (cryo-ET) images, which suffer from low signal-to-noise (SNR) ratios and the presence …

abstract arxiv cellular cs.cv deep learning dynamic eess.iv form image image processing maps organization patterns physics.bio-ph processing segmentation support through tracing type understanding