imputation

Methylation risk scores are associated with a collection of phenotypes within electronic health record systems

This study evaluates methylation risk scores (MRS) in clinical datasets, showing they improve EHR imputation and predict phenotypes better than polygenic risk scores or EHR-based methods alone.

MesoTIRF: a Total Internal Reflection Fluorescence illuminator for axial super-resolution membrane imaging at the mesoscale

The paper introduces MesoTIRF, a TIRF illuminator that expands the field of view while maintaining high resolution for membrane imaging.

ELI trifocal microscope: A precise cryogenic fabrication system to prepare target cryo-lamellae of cells for in situ cryo-ET study

The paper introduces ELI-TriScope, a cryogenic system for precise cryo-lamella preparation, achieving 100% success in targeting HeLa cell centrosomes for cryo-ET structural analysis.

The ChlorON Series: Turn-on Fluorescent Protein Sensors for Imaging Labile Chloride in Living Cells

The paper introduces the ChlorON series of fluorescent protein sensors for imaging labile chloride in living cells with a turn-on response at physiological pH.

Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis

This paper introduces RECODE, a noise reduction method for scRNA-seq data that eliminates the curse of dimensionality, improves cell clustering, and recovers gene expression for all genes.

EDoF-Miniscope: pupil engineering for extended depth-of-field imaging in a fluorescence miniscope

The paper introduces EDoF-Miniscope, a fluorescence miniscope with extended depth-of-field imaging, achieving 2.8X depth extension and high-contrast signals in mouse brain samples.

The solution path of the Li-Stephens haplotype copying model

This paper analyzes the Li-Stephens haplotype copying model, deriving an algorithm to explore parameter space and demonstrating its impact on imputation and phasing tasks.

Precise targeting for 3D cryo-correlative light and electron microscopy volume imaging of tissues using a FinderTOP

This paper introduces a method for 3D cryo-correlative light and electron microscopy of tissues using a FinderTOP pattern for precise targeting.

Advancing Spectrally-Resolved Single Molecule Localization Microscopy using Deep Learning

This paper introduces srUnet, a deep learning method that improves spectral and spatial precision in srSMLM by compensating for signal loss, achieving performance close to conventional SMLM.

Multimodal electrocorticogram active electrode array based on zinc oxide-thin film transistors

This paper develops a transparent active ECoG array using ZnO-TFTs for electrophysiological monitoring, enabling simultaneous optical and MRI-compatible brain signal recording.

The sequences of 150,119 genomes in the UK biobank

The paper analyzes whole genome sequences of 150,119 UK Biobank individuals, identifying variants and associations with traits, and provides a haplotype reference panel for imputation.

Increasing the throughput of sensitive proteomics by plexDIA

Multiplexing nonisobaric isotopologous mass tags (mTRAQ) with data-independent acquisition and DIA-NN increases sensitive proteomics throughput 3-fold while cutting missing data below 3% in bulk and single cells.

Simultaneous Spectral Differentiation of Multiple Fluorophores in Super-resolution Imaging Using a Glass Phase Plate

This paper introduces a method to simultaneously image and distinguish multiple fluorophores in super-resolution microscopy using a phase plate and computational algorithm.

Assessment of label-free quantification and missing value imputation for proteomics in non-human primates

This study evaluates label-free quantification and missing value imputation methods in non-human primate proteomics to improve data quality and analysis.

A low-cost smartphone fluorescence microscope for research, life science education, and STEM outreach

This paper develops a low-cost smartphone-based fluorescence microscope (glowscope) for educational and outreach settings, capable of imaging live specimens with 10 m resolution.

LmTag: functional-enrichment and imputation-aware tag SNP selection for population-specific genotyping arrays

LmTag improves tag SNP selection by prioritizing functional SNPs while enhancing imputation accuracy for population-specific genotyping arrays.

Interpretable machine learning models for single-cell ChIP-seq imputation

SIMPA imputes missing regions in scChIP-seq data using machine learning models trained on bulk data, improving clustering and pathway gene identification while enabling model interpretation.

DBlink: Dynamic localization microscopy in super spatiotemporal resolution via deep learning

DBlink improves super spatiotemporal resolution in SMLM by using deep learning to reconstruct dynamic processes from video data.

Genotyping, sequencing and analysis of 140,000 adults from the Mexico City Prospective Study

The paper genotypes and sequences 140,000 adults from the Mexico City Prospective Study, revealing ancestry diversity and developing imputation resources for genetic studies.

Accurate background reduction in adaptive optical 3D-STED nanoscopy by dynamic phase switching

This paper introduces a method to improve signal-to-background ratio in 3D-STED nanoscopy using dynamic phase switching with adaptive optics.

The Practical Haplotype Graph, a platform for storing and using pangenomes for imputation

The paper introduces the Practical Haplotype Graph (PHG) platform for storing and using pangenomes, demonstrating its effectiveness in imputing genomes from low-coverage data in crops like maize.

Exchangeable HaloTag Ligands (xHTLs) for multi-modal super-resolution fluorescence microscopy

The paper introduces exchangeable HaloTag ligands for multi-modal super-resolution fluorescence microscopy, enabling dual-color imaging techniques like PAINT and STED.

Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation

The paper benchmarks imputation methods for gene regulatory network inference using synthetic scRNA-seq data generated by a novel tool.

Phase-Restoring Subpixel Image Registration: Enhancing Motion Detection Performance in Fourier-domain Optical Coherence Tomography

This paper introduces PRESIR, a method to correct motion-related decorrelation noise in FD-OCT, improving motion detection sensitivity and accuracy.

HiCImpute: A Bayesian Hierarchical Model for Identifying Structural Zeros and Enhancing Single Cell Hi-C Data.

HiCImpute identifies structural zeros in scHi-C data and improves imputation, leading to more accurate clustering and subtype discovery in neuronal cells.

Increasing the Field-of-View in Oblique Plane Microscopy via optical tiling

This paper introduces a dual-axis scan unit for oblique plane microscopy to increase field-of-view and imaging speed, enabling high-resolution volumetric imaging of zebrafish embryos.

Diffusion on PCA-UMAP manifold captures a well-balance of local, global, and continuum structures to denoise single-cell RNA sequencing data

The paper introduces sc-PHENIX, an imputation method for scRNA-seq data that addresses over-smoothing issues in diffusion-based approaches by using PCA-UMAP initialization.

Cross-Modal Autoencoder Framework Learns Holistic Representations of Cardiovascular State

This paper develops a cross-modal autoencoder framework to integrate cardiac MRI and ECG data, improving phenotype prediction and enabling MRI imputation from ECGs.

An Engineered Amber-Emitting Nano Luciferase and Its Use for Immunobioluminescence Imaging in Vivo

The paper develops a red-shifted NanoLuc variant (QLuc) and uses it for in vivo immunobioluminescence imaging to improve deep-tissue visualization in mice.

An Optimized Buffer for Repeatable Multicolor STORM

The paper develops an optimized buffer for multicolor STORM microscopy to improve dye blinking and enable high-quality 3-color imaging.