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Hierarchical phase-contrast tomography (HiP-CT) enables multiscale imaging of any region within an intact human organ down to cellular resolution. HiP-CT of five organ types revealed 3D morphological features in healthy and diseased tissue.
Researchers identified a single-effector Cas, Cas7-11, that architecturally diverges from previous CRISPR single- or multi-component systems and can possess RNA knockdown activity without detectable collateral activity in mammalian cells.
The MISpheroID knowledgebase records and organizes experimental parameters from thousands of cancer spheroid experiments, revealing heterogeneity and a lack of transparency in key spheroid research reporting practices.
The proliferation of versatile open software and hardware for microscopy is helping to democratize biological imaging for both current and aspiring scientists.
HERMES is a molecular-formula-oriented and peak-detection-free method that uses LC/MS1 information to optimize MS2 acquisition for LC/MS-based metabolomic analysis.
The Signac framework enables the end-to-end analysis of single-cell chromatin data and interoperability with the Seurat package for multimodal analysis.
SpaGCN is a spatially resolved transcriptomics data analysis tool for identifying spatial domains and spatially variable genes using graph convolutional networks.
The NetID algorithm annotates untargeted LC-MS metabolomics data by combining known biochemical and metabolomic principles with a global network optimization strategy.
DeepLC, a deep learning-based peptide retention time predictor, can predict retention times for unmodified peptides as well as peptides with previously unseen modifications.