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A model-based correction (MBC) algorithm offers fast and accurate correction of multiple-blinking artifacts in PALM data. MBC outperforms other algorithms in both speed and accuracy and improves quantitative downstream image analysis.
A ‘hybrid’ open-top light-sheet microscope is described, which can be used for broad multi-scale volumetric imaging of one or more large tissues, cleared with diverse protocols, and conveniently mounted on an array of sample holders.
NeuroMechFly enables simulations of adult Drosophila melanogaster. The platform combines a biomechanical representation of the fly body, models of the muscles, a neural controller and a physics-based simulation of the environment.
iNTA combines interferometric detection of scattering with nanoparticle tracking analysis for determining the size and refractive index distributions of nanoparticles in suspension with high sensitivity and precision.
Two-color fluorogenic DNA-PAINT introduces self-quenching, kinetics-optimized probe designs. This approach improves imaging speed 26-fold and eliminates the need for optical sectioning.
ROCK (RNA oligomerization-enabled cryo-EM via installing kissing loops) enables improved single-particle cryo-EM of RNAs. ROCK was used to generate high-quality structures of three diverse RNAs, including the Tetrahymena group I intron.
This work presents an RNA spike-in that can be used to improve RNA counting in single-cell RNA-sequencing (scRNA-seq) analysis, as well as to report the performance of scRNA-seq methods.
This work describes a strategy for estimating the population frequency of structural variations by searching the raw alignments of large population sequencing samples using the STIX framework.
DiMeLo-seq uses native long-read sequencing to examine protein–DNA interactions by mapping exogenous methylation marks generated by a nonspecific DNA methyltransferase, as well as profile endogenous CpG methylation simultaneously.
This study presents the results of the second round of the Critical Assessment of Metagenome Interpretation challenges (CAMI II), which is a community-driven effort for comprehensively benchmarking tools for metagenomics data analysis.
SLEAP is a versatile deep learning-based multi-animal pose-tracking tool designed to work on videos of diverse animals, including during social behavior.
The work describes the validation and polishing strategies developed by the telomere-to-telomere consortium for evaluating and improving the first complete human genome assembly.
HYBRiD is a tissue-clearing approach that combines elements of solvent-based and aqueous, hydrogel-based methods, thereby achieving high transparency while maintaining fluorescence.