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Article
Open AccessPIXER: an automated particle-selection method based on segmentation using a deep neural network
Cryo-electron microscopy (cryo-EM) has become a widely used tool for determining the structures of proteins and macromolecular complexes. To acquire the input for single-particle cryo-EM reconstruction, resear...
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Chapter and Conference Paper
Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography
Cryo-electron tomography (cryo-ET) combined with subtomogram averaging (STA) is a unique technique in revealing macromolecule structures in their near-native state. However, due to the macromolecular structura...
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Article
Open AccessCompressed sensing improved iterative reconstruction-reprojection algorithm for electron tomography
Electron tomography (ET) is an important technique for the study of complex biological structures and their functions. Electron tomography reconstructs the interior of a three-dimensional object from its proje...
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Chapter and Conference Paper
SaID: Simulation-Aware Image Denoising Pre-trained Model for Cryo-EM Micrographs
Cryo-Electron Microscopy (cryo-EM) is a revolutionary technique for determining the structures of proteins and macromolecules. Physical limitations of the imaging conditions cause a very low Signal-to-Noise Ra...
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Article
Open AccessHycDemux: a hybrid unsupervised approach for accurate barcoded sample demultiplexing in nanopore sequencing
DNA barcodes enable Oxford Nanopore sequencing to sequence multiple barcoded DNA samples on a single flow cell. DNA sequences with the same barcode need to be grouped together through demultiplexing. As the nu...