Abstract Aging-related cognitive decline is an emerging health crisis; however, no established unifying mechanism has been identified for the impairments seen in aging population. A vascular hypothesis of proposed but difficult to test given requirement high-fidelity microvascular imaging resolution with a broad and deep brain field view, which restricted by fundamental trade-off penetration depth resolution. Super-resolution ultrasound localization microscopy (ULM) offers potential solution...

Abstract Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and tracking intravenously injected microbubbles circulating in the bloodstream. However, conventional techniques require spatially isolated microbubbles, resulting prolonged time to obtain detailed maps. Here, we introduce LOcalization with Context Awareness (LOCA)-ULM, a learning-based microbubble simulation pipeline designed enhance performance high concentrations. In silico, LOCA-ULM...

Ultrasound localization microscopy (ULM) is an emerging vascular imaging technique that overcomes the resolution-penetration compromise of ultrasound imaging. Accurate and robust microbubble (MB) essential for successful ULM. In this study, we present a deep learning (DL)-based uses both Field-II simulation <i>in vivo</i> chicken embryo chorioallantoic membrane (CAM) data training. Both radio frequency (RF) in-phase quadrature (IQ) were tested in study. The experiment shows proposed DL-based...

Ultrasound localization microscopy is a super-resolution imaging technique that exploits the unique characteristics of contrast microbubbles to side-step fundamental trade-off between resolution and penetration depth. However, conventional reconstruction confined low microbubble concentrations avoid tracking errors. Several research groups have introduced sparsity- deep learning-based approaches overcome this constraint extract useful vascular structural information from overlapping signals,...

Increasing evidence has suggested a link between cerebrovascular disease and the cognitive impairment associated with Alzheimer's Disease. However, detailed descriptions of microvascular changes across brain regions how they relate to other more traditional pathology have been lacking. Additionally, efforts elucidate interplay cerebral function Disease progression are complicated by necessity probing deep-brain structures since early-stage typically involves hippocampal pathology. The...

Background: Resistance to radiotherapy is one of the main obstacles improving cancer prognoses. To effectively destroy cells, novel radiation sensitizers are needed. Recently, several natural products have been shown exhibit promising tumor-killing properties. However, little known about specific mechanisms these compounds on treatment. In this study, after screening a high-throughput product library, we identified tanshinone I (Tan I) as potential sensitizer in lung cells. Methods: Lung...

Monitoring the fluctuation of adenosine triphosphate (ATP) level in living cells could promote understanding metabolic pathways and cell biology. Here, we proposed a highly sensitive, selective, biocompatible nanoprobe with core–shell structure, namely Au NBPs@ZIF-8 composed by gold nanobipyramids (Au NBPs) zeolitic imidazolate framework-8 (ZIF-8), for monitoring intracellular ATP cells. Because coordination between Zn2+ (the metal node ZIF-8) was much stronger than that 2-methylimidazole...

Tissue engineering (TE) cornea is one of the most potential alternatives to shortage corneal donors in transplantation. Sodium alginate (SA) hydrogel commonly used as scaffold TE. Herein, we present an approach construct a composite hydrogel, which with SA fiber skeleton structure for shape retention and gelatin surface modification water retention. The light transmittance, rate, swelling rate hydrogels were characterized, tensile mechanical properties also investigated. Keratinocytes...

Super-resolution ultrasound microvessel imaging based on localization microscopy (ULM) is an emerging modality that capable of resolving micrometer-scaled vessels deep into tissue. In practice, ULM limited by the need for contrast injection, long data acquisition, and computationally expensive postprocessing times. this study, we present a contrast-free super-resolution power Doppler (CS-PD) technique uses networks to achieve with short acquisition. The training dataset comprised...

Ultrasound localization microscopy (ULM) enabled high-accuracy measurements of microvessel flow beyond the resolution limit conventional ultrasound imaging by utilizing contrast microbubbles (MBs) as point targets. Robust tracking MBs is an essential task for fast and high-quality ULM image reconstruction. Existing MB methods suffer from challenging scenarios such high-density distributions, blood flow, complex dynamics. Here we present a deep learning-based pairing method based on...

Ultrasound localization microscopy (ULM) based on microbubble (MB) was recently introduced to overcome the resolution limit of conventional ultrasound. However, ULM is currently challenged by requirement for long data acquisition times accumulate adequate MB events fully reconstruct vasculature. In this study, we present a curvelet transform-based sparsity promoting (CTSP) algorithm that improves imaging speed recovering missing signal from with very short times. CTSP first validated in...

Plasmalogens (Pls), a special group of phospholipids, are effective in ameliorating neurodegenerative disease. In the present study, metabolic effects seafood-derived Pls on high fat diet (HFD)-induced hyperlipidemia zebrafish were evaluated, and underlying mechanisms dietary against explored through integrated analyses hepatic transcriptomics metabolomics. The results demonstrated that supplementation could effectively alleviate HFD-induced obesity symptoms, such as body weight gain,...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</i> Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it challenging to accurately quantify metabolites with proton MRS due serious overlaps of metabolite signals, imperfections because non-ideal acquisition conditions, and interference strong background signals mainly from macromolecules. The most popular method, LCModel, adopts...

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective</i> : Super-resolution ultrasound localization microscopy (ULM) has unprecedented vascular resolution at clinically relevant imaging penetration depths. This technology can potentially screen for the transient microvascular changes that are thought to be critical synergistic effect(s) of combined chemotherapy-antiangiogenic agent regimens cancer....

The acoustic nonlinearity parameter B/A describes the nonlinear features of a medium and may become novel for ultrasonic tissue characterization. This paper presents theoretical analysis tomography via parametric array. As two primary waves different frequencies are radiated simultaneously from circular piston source, secondary wave at difference frequency is generated due to interaction waves. axial radial distributions sound pressure amplitude in near field calculated by superposition...

Characterization of glycerophospholipid isomers is significant importance as they play different roles in physiological and pathological processes. In this work, we present a novel bifunctional derivatization method utilizing Mn(II)-catalyzed epoxidation to simultaneously identify carbon-carbon double bond (CC bond)- stereonumbering (sn)-positional phosphatidylcholine. Mn(II) coordinates with picolinic acid catalyzes unsaturated lipids by peracetic acid. Collision-induced dissociation (CID)...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Transform-domain (TD) receivers expand the received signal over a basis set, and then operate on coefficients. An analog computation of coefficients efficiently parallelizes for digital processing, relaxing sampling requirements enabling parallel processing at much lower rate. Frequency-domain (FD) sampling, as special case TD has been proposed to parallelize process in broad-band communication...

Abstract Ultrasound localization microscopy is a super-resolution imaging technique that exploits the unique characteristics of contrast microbubbles to side-step fundamental trade-off between resolution and penetration depth. However, conventional reconstruction confined low microbubble concentrations avoid tracking errors. Several research groups have introduced sparsity- deep learning-based approaches overcome this constraint extract useful vascular structural information from overlapping...

Disease in the spinal cord is a major component of disability multiple sclerosis, yet current techniques imaging injury are insensitive and nonspecific. This study seeks to remove this impediment research sclerosis other diseases by identifying reliable biomarkers progression using diffusion tensor (DTI), magnetic resonance technique, evaluate model i.e. Theiler’s Murine Encephalitis Virus-Induced Demyelinating (TMEV-IDD). Mice with TMEV-IDD varying levels clinical disease were imaged 9.4T...

Dynamic surveillance of vasculature is essential for evaluating the healing oral ulcer. Existing techniques used in vascular imaging face limitations, such as inadequate spatial resolution, restricted diagnostic depth, and necessity exogenous contrast agents. Therefore, this study aimed to use robust photoacoustic (PAI) dynamic monitoring response during associated treatment process

Three-dimensional (3D) reconstruction serves as a crucial instrument for the analysis of biological structures. In particular, comprehensive and accurate 3D ultrastructural examination rat sperm is vital understanding diagnosing male fertility issues underlying causes infertility. this study, we utilize automated tape-collecting ultramicrotome scanning electron microscopy (ATUM-SEM) imaging technique, which highly effective method cellular analysis. Our findings reveal that during...

Mass Spectrometry (MS) is a widely used technique in biology research, and has become key proteomics metabolomics analyses. As result, the amount of MS data significantly increased recent years. For example, repository MassIVE contains more than 123TB data. Somehow surprisingly, these are stored uncompressed, hence incurring significant storage cost. Efficient representation therefore paramount to lessen burden facilitate its dissemination.We present MassComp, lossless compressor optimized...