P. Song

Longitudinal Awake Imaging of Deep Mouse Brain Microvasculature with Super-resolution Ultrasound Localization Microscopy

This study demonstrates longitudinal awake mouse brain imaging using ultrasound localization microscopy, showing reduced vessel density and flow velocity after anesthesia recovery.

Mitochondrial DNA released by senescent cells triggers immunosuppression in cancer

This study shows that mtDNA released by senescent cells triggers immunosuppression via PMN-MDSCs, and inhibiting this pathway enhances therapy-induced senescence in cancer.

High Volume Rate 3-D Ultrasound Imaging Using Fast-Tilting and Redirecting Reflectors

This paper introduces a new 3-D ultrasound imaging technique called FASTER that improves volume rate and usability compared to conventional methods.

Three-dimensional Shear Wave Elastography Using Acoustic Radiation Force and A 2-D Row-Column Addressing (RCA) Array

This paper introduces a 3-D shear wave elastography method using a 2-D row-column addressing array, demonstrating robust performance in both phantom and in vivo studies.

Context-Aware Deep Learning Enables High-Efficacy Localization of High Concentration Microbubbles for Super-Resolution Ultrasound Localization Microscopy

This paper introduces LOCA-ULM, a deep learning method for ultrasound localization microscopy that improves microbubble detection and localization accuracy in vivo and in silico.

Multi-omics of the gut microbial ecosystem in the immunotherapy resistance in microsatellite instability-high gastrointestinal cancer patients

The paper uses multi-omics data to identify gut microbiome and metabolite markers of immunotherapy resistance in MSI-H/dMMR gastrointestinal cancer patients and develops a predictive model with 0.83 accuracy.

Inhibition of ADORA1 attenuates hepatic steatosis by gut microbiota-derived acetic acid from Astragalus polysaccharides

The paper reports that some data could not be replicated and the manuscript was withdrawn, with parts of the data published elsewhere.

Contrast-free Super-resolution Doppler (CS Doppler) based on Deep Generative Neural Networks

This paper introduces CS Doppler, a contrast-free super-resolution Doppler technique using deep generative networks, achieving improved spatial resolution and real-time imaging in vivo.

Programming super DNA-enzyme molecules for on-demand enzyme activity modulation

This paper develops a super DNA-enzyme molecule (SDEM) that enables on-demand enzyme activity modulation with improved detection limits and reaction rates compared to free enzymes.

Noninvasive cancer detection by extracting and integrating multi-modal data from whole-methylome sequencing of plasma cell-free DNA

This paper develops a method to detect cancer noninvasively by integrating methylation, fragmentation, and copy number data from plasma cell-free DNA using machine learning.

Curvelet Transform-based Sparsity Promoting Algorithm for Fast Ultrasound Localization Microscopy

This paper introduces a curvelet transform-based sparsity promoting algorithm to accelerate ultrasound localization microscopy by recovering missing microbubble signals from short acquisition times.

Deep Learning-based Microbubble Localization for Ultrasound Localization Microscopy

This study develops a deep learning method for microbubble localization in ultrasound imaging, showing improved accuracy and performance in vivo.

Three-dimensional Shear Wave Elastography Using a 2D Row Column Addressing (RCA) Array

This paper develops a 3D shear wave elastography technique using a 2D RCA array, demonstrating its ability to detect 3D shear wave motion and reconstruct speed maps with high volume-rate.

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.

Localization free super-resolution microbubble velocimetry using a long short-term memory neural network

This paper introduces Deep-SMV, a deep learning-based method for super-resolution microbubble velocimetry that directly outputs blood velocity maps without requiring microbubble localization.

Lkb1 is a master regulator of VSMC fate and function in mice

This study shows that Lkb1 is essential for maintaining vascular smooth muscle cell (VSMC) identity and function in mice, as its deletion leads to vascular abnormalities and aneurysm formation.

Contrast-enhanced sonography with biomimetic lung surfactant nanodrops

This study uses biomimetic lung surfactant to stabilize microbubbles created from nanodrops for improved ultrasound imaging.

Comparing synthetic refocusing to deconvolution for the extraction of neuronal calcium transients from light-fields

This study compares synthetic refocusing and deconvolution methods for extracting neuronal calcium transients from light-field images, finding that deconvolution improves spatial confinement but reduces signal-to-noise ratio compared to synthetic refocusing.

Detecting and Quantitating Low Fraction DNA Variants with Low-Depth Sequencing

This paper introduces mBDA, a method to detect low-frequency DNA variants with low-depth sequencing, and applies it to find tumor heterogeneity in melanoma samples.

Ciliary Genes arl13b, ahi1 and cc2d2a Differentially Modify Expression of Visual Acuity Phenotypes but do not Enhance Retinal Degeneration due to Mutation of cep290 in Zebrafish

This study examines how mutations in ciliary genes arl13b, ahi1, and cc2d2a modify visual acuity phenotypes in zebrafish with cep290 mutations, showing no enhancement of retinal degeneration but altered visual performance.