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Lightning Pose is an efficient pose estimation approach that requires few labeled training data owing to its semi-supervised learning strategy and ensembling.
The EMDataResource Ligand Model Challenge aimed at assessing the reliability and reproducibility of modeling ligands bound to protein and protein–nucleic acid complexes in cryo-EM maps determined at near-atomic resolution. This analysis presents the results and recommends best practices for assessing cryo-EM structures of liganded macromolecules.
SpatialGlue is a graph neural network-based approach for integrating multimodal spatial omics data. Combining complementary data modalities improves the discovery of spatial domains as well as the identification of cell subpopulations across tissues.
Scientific breakthroughs can change how we understand and live in the world, disrupting long-held assumptions and concepts and raising new questions for philosophy and science. To address these challenges, we describe a model for collaboration of scientists with philosophers and ethicists, and its benefits to the research process and outcomes.
Assessing forest health and resilience is an urgent, many-methods task that takes global collaboration, data collected at multiple scales and a willingness to be surprised.
Bessel-droplet two-photon fluorescence microscopy offers high-contrast and high-resolution volumetric imaging in vivo and can be used for high-throughput mapping of functional synaptic organization in the mouse brain.
Permittivity tensor imaging is a label-free computational microscopy approach that enables the three-dimensional measurement of molecular permittivity tensors, revealing information about a biomolecule’s dry mass and orientation in cells and tissues.
This work describes scEdU-seq for studying replication fork speed in single cells, which enables researchers to investigate variability in replication speed along S phase and its associations with transcription and DNA damage.
DART (drug acutely restricted by tethering) enables the manipulation of native receptors on genetically defined neurons. This work describes second-generation DART reagents for manipulating GABAA and AMPA receptors with higher cellular specificity than previously achieved.
Although not widely appreciated, measured smFRET efficiencies can vary depending on illumination intensity. Self-healing fluorophores offer robust triplet state suppression to enable accurate smFRET measurements under broad illumination regimes.
Tissues, organs and organ systems are composed of interacting cells (the cellome). We discuss the emergence of an omics approach that we refer to as cellomics. It enables cellome-wide analysis in whole-organ or whole-body specimens, based on advanced three-dimensional imaging and image analysis technology. We think that cellomics will pave the way for the incorporation of cellular, intercellular and spatial information across millions of cells in our body.
Blush regularization makes use of a neural network pre-trained on a diverse set of high-resolution cryo-EM half-maps to improve image alignment, effectively lowering the size barrier, during cryo-EM structure determination.
