imputation

Improved Ultrasound Localization Microscopy based on Microbubble Uncoupling via Transmit Excitation (MUTE)

This paper introduces MUTE-ULM, a technique that improves ultrasound localization microscopy by reducing data acquisition time through enhanced microbubble separation and localization.

Event-driven acquisition for content-enriched microscopy

The paper introduces an event-driven acquisition framework that enhances microscopy by capturing dynamic biological events with optimized imaging rates.

Multiple Imputation Approaches Applied to the Missing Value Problem in Bottom-up Proteomics

This paper evaluates missing value imputation strategies in proteomics, advocating for hybrid left-censored approaches to handle missing not at random data.

How To Extend The Capabilities Of A Commercial Two-Photon Microscope To Perform Super-Resolution Imaging, Wavelength Mixing And Label-Free Microscopy.

This paper describes a hybrid microscope system that extends a commercial two-photon microscope to perform super-resolution imaging, wavelength mixing, and label-free microscopy.

A globally diverse reference alignment and panel for imputation of mitochondrial DNA variants

The paper develops a method to impute missing mitochondrial DNA variants using a large reference alignment, improving haplogroup assignment and enabling better integration of mtDNA data from different sources.

Ultra-Fast Homomorphic Encryption Models enable Secure Outsourcing of Genotype Imputation

This paper develops secure genotype imputation methods using homomorphic encryption, showing comparable accuracy and efficiency to non-secure methods while protecting genetic data privacy.

Privacy-Preserving Genotype Imputation in a Trusted Execution Environment

This paper introduces a privacy-preserving genotype imputation method using a Trusted Execution Environment to protect genetic data while maintaining accuracy comparable to existing tools.

Acoustic light-sheet microscopy

Acoustic light-sheet microscopy overcomes the trade-off between field-of-view and axial resolution in light-sheet microscopy by guiding light through acoustic pulses.

ImputeCoVNet: 2D ResNet Autoencoder for Imputation of SARS-CoV-2 Sequences

ImputeCoVNet is a 2D ResNet Autoencoder for imputing missing SARS-CoV-2 variants, achieving accurate results at low allele frequencies with faster computation than Hamming distance methods.

IceR improves proteome coverage and data completeness in global and single-cell proteomics

IceR improves proteome coverage and data completeness in global and single-cell proteomics by combining DDA's identification rates with DIA's low missing value rates.

Large field-of-view incoherent volumetric imaging in living human retina by confocal oblique scanning laser ophthalmoscopy

This paper introduces CoSLO, a technique for fast, large-field-of-view incoherent 3D retinal imaging in humans, achieving >20° viewing angle in 5 seconds with 45 microns depth resolution.

Cooled SPAD array detector for low light-dose fluorescence laser scanning microscopy

This paper introduces a cooled SPAD array detector that reduces dark-noise, improving signal-to-noise ratio and enabling lower laser power for live-cell imaging and artifact-free fluorescence fluctuation spectroscopy.

A Fast Data-Driven Method for Genotype Imputation, Phasing, and Local Ancestry Inference: MendelImpute.jl

MendelImpute.jl provides a fast, data-driven method for genotype imputation, phasing, and ancestry inference using linear algebra instead of hidden Markov models.

Bioimage postprocessing based on discrete wavelet transform and Lucy-Richardson deconvolution methods

This paper improves image resolution and signal-to-noise ratio in live cell imaging using a combination of discrete wavelet transform and Lucy-Richardson deconvolution.

Single-domain antibodies for targeting, detection and in vivo imaging of human CD4+ cells

This study develops single-domain antibodies to target and image human CD4+ cells in vivo, demonstrating their utility in immunotherapy monitoring.

Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models

The paper develops ENVIM, an Elastic Net Model-based method for predicting metabolites from microbiome data, showing improved accuracy over existing methods in oral, gut, and vaginal microbiome datasets.

mbImpute: an accurate and robust imputation method for microbiome data

mbImpute improves microbiome data analysis by accurately imputing non-biological zeros, enhancing the detection of disease-related taxa in type 2 diabetes and colorectal cancer data.

Fast 3D Clear: A Fast, Aqueous, Reversible Three-Day Tissue Clearing Method for Adult and Embryonic Mouse Brain and Whole Body

The paper introduces a new aqueous tissue clearing method called Fast 3D Clear, which enables high transparency of mouse tissues in three days and is reversible for further analysis.

A turquoise fluorescence lifetime-based biosensor for quantitative imaging of intracellular calcium

This paper introduces a new calcium biosensor based on fluorescence lifetime imaging, which provides accurate and pH-insensitive quantification of intracellular calcium concentrations.

VSS: Variance-stabilized units for sequencing-based genomic signals

The paper introduces VSS, a method to stabilize variance in sequencing-based genomic signals, improving downstream applications like SAGA.

New targets acquired: improving locus recovery from the Angiosperms353 probe set

The paper improves locus recovery by expanding the Angiosperms353 probe set with more transcriptome data, increasing on-target reads and loci recovery.

NeTOIF: A Network-based Approach for Time-Series Omics Data Imputation and Forecasting

NeTOIF improves time-series omics data imputation and forecasting by integrating network-based methods and LSTM networks, outperforming existing techniques in handling missing values across multiple time points.

DIMA: Data-driven selection of a suitable imputation algorithm

DIMA selects an imputation algorithm based on data characteristics, achieving reliable performance across proteomics datasets with missing values.

Three-dimensional residual channel attention networks denoise and sharpen fluorescence microscopy image volumes

This paper applies RCAN to enhance fluorescence microscopy image volumes, achieving denoising and resolution improvements across multiple microscopy techniques.

BaySiCle: A Bayesian Inference joint kNN method for imputation of single-cell RNA-sequencing data making use of local effect

BaySiCle improves single-cell RNA-seq imputation by combining Bayesian inference with kNN, using batch-specific priors to enhance accuracy.

Multiview super-resolution microscopy

This paper introduces a multiview super-resolution microscopy approach that enhances confocal microscopy resolution and reduces phototoxicity across multiple scales.

Near-infrared imaging in fission yeast by genetically encoded biosynthesis of phycocyanobilin

This paper demonstrates that phycocyanobilin enhances iRFP fluorescence in fission yeast, enabling live-cell near-infrared imaging through engineered biosynthesis systems.

Investigating the impact of reference assembly choice on genomic analyses in a cattle breed

This study compares the impact of two cattle reference genomes on genomic analyses, finding negligible differences in most tasks but significant effects on selection signature detection.

Generative adversarial neural networks maintain decoder accuracy during signal disruption in simulated long-term recordings from brain computer interfaces

This paper presents a GAN-based method to recover degraded signals in simulated long-term BCIs, maintaining decoder accuracy despite signal disruption.

G2S3: a gene graph-based imputation method for single-cell RNA sequencing data

G2S3 improves single-cell RNA sequencing data by imputing dropouts using a gene graph, enhancing expression recovery and analysis.