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View article: Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements
Comparison of diffuse correlation spectroscopy analytical models for cerebral blood flow measurements Open
This systematic comparison of three DCS analytical models demonstrates the superior ability of multi-layer models to reduce the influence of superficial tissue layers, thereby enhancing CBFi and rCBFi sensitivity relative to the semi-infin…
View article: Deep learning techniques for diffuse correlation spectroscopy: A review
Deep learning techniques for diffuse correlation spectroscopy: A review Open
Diffuse correlation spectroscopy (DCS) is an optical technology for extracting blood flow index (BFi) by measuring intensity fluctuations of the back-scattered light emitted from tissues. The remarkable characteristics of DCS, such as its …
View article: Cerebral blood flow monitoring using a deep learning implementation of the two-layer diffuse correlation spectroscopy analytical model with a 512 × 512 SPAD array
Cerebral blood flow monitoring using a deep learning implementation of the two-layer diffuse correlation spectroscopy analytical model with a 512 × 512 SPAD array Open
This study demonstrates that integrating DL with the two-layer DCS analytical model enables accurate, real-time cerebral perfusion monitoring without sacrificing depth sensitivity. The proposed method enhances CBFi sensitivity and recovery…
View article: Multi-channel high-precision FPGA-embedded time correlated single photon counting systems for optical scattering imaging
Multi-channel high-precision FPGA-embedded time correlated single photon counting systems for optical scattering imaging Open
Scattering imaging techniques, demonstrated using time-correlated single-photon counting (TCSPC) systems, have significant industrial applications in areas such as remote sensing, robotic vision, and autonomous driving. This paper presents…
View article: Fiber-Based Ultra-High-Speed Diffuse Speckle Contrast Analysis System for Deep Blood Flow Sensing Using a Large SPAD Camera
Fiber-Based Ultra-High-Speed Diffuse Speckle Contrast Analysis System for Deep Blood Flow Sensing Using a Large SPAD Camera Open
Diffuse speckle contrast analysis (DSCA), also called speckle contrast optical spectroscopy (SCOS), has emerged as a groundbreaking optical imaging technique for tracking dynamic biological processes, including blood flow and tissue perfus…
View article: Hearing Intervention, Social Isolation, and Loneliness
Hearing Intervention, Social Isolation, and Loneliness Open
Importance Promoting social connection among older adults is a public health priority. Addressing hearing loss may reduce social isolation and loneliness among older adults. Objective To describe the effect of a best-practice hearing inter…
View article: Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing Open
Deep neural networks (DNNs) enhance the accuracy and efficiency of reconstructing key parameters from time-resolved photon arrival signals recorded by single-photon detectors. However, the performance of conventional backpropagation-based …
View article: Fast blood flow index reconstruction of diffuse correlation spectroscopy using a back-propagation-free data-driven algorithm
Fast blood flow index reconstruction of diffuse correlation spectroscopy using a back-propagation-free data-driven algorithm Open
This study introduces a fast and accurate online training method for blood flow index (BFI) and relative BFI (rBFI) reconstruction in diffuse correlation spectroscopy (DCS). We implement rigorous mathematical models to simulate the auto-co…
View article: Inverse Bridge Matching Distillation
Inverse Bridge Matching Distillation Open
Learning diffusion bridge models is easy; making them fast and practical is an art. Diffusion bridge models (DBMs) are a promising extension of diffusion models for applications in image-to-image translation. However, like many modern diff…
View article: Intrahepatic crystals from elevated dietary cholesterol are sufficient to stiffen the liver
Intrahepatic crystals from elevated dietary cholesterol are sufficient to stiffen the liver Open
Chronic lipid accumulation is a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD), and dyslipidemia is associated with disease progression and poorer patient outcomes. Tissue stiffening is an established fibrogen…
View article: Lecanemab Slows Amyloid‐Induced Tau Pathology as Supported by CSF MTBR‐tau243 in Clarity AD
Lecanemab Slows Amyloid‐Induced Tau Pathology as Supported by CSF MTBR‐tau243 in Clarity AD Open
Background Lecanemab is a humanized immunoglobulin G1 monoclonal antibody targeting neurotoxic Aβ protofibrils and Aβ plaques, which reduces markers of amyloid and significantly slows clinical decline on multiple cognition and function mea…
View article: A Hearing Intervention and Health-Related Quality of Life in Older Adults
A Hearing Intervention and Health-Related Quality of Life in Older Adults Open
Importance Health-related quality of life is a critical health outcome and a clinically important patient-reported outcome in clinical trials. Hearing loss is associated with poorer health-related quality-of-life in older adults. Objective…
View article: Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy
Towards high-performance deep learning architecture and hardware accelerator design for robust analysis in diffuse correlation spectroscopy Open
This study proposes a compact deep learning (DL) architecture and a highly parallelized computing hardware platform to reconstruct the blood flow index (BFi) in diffuse correlation spectroscopy (DCS). We leveraged a rigorous analytical mod…
View article: Multi-Scale Frequency-Adaptive-Network-Based Underwater Target Recognition
Multi-Scale Frequency-Adaptive-Network-Based Underwater Target Recognition Open
Due to the complexity of underwater environments, underwater target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for underwater target recognition. Based on t…
View article: Object classification through heterogeneous fog with a fast data-driven algorithm using a low-cost single-photon avalanche diode array
Object classification through heterogeneous fog with a fast data-driven algorithm using a low-cost single-photon avalanche diode array Open
This study presents a framework for classifying a wooden mannequin’s poses using a single-photon avalanche diode (SPAD) array in dynamic and heterogeneous fog conditions. The target and fog generator are situated within an enclosed fog cha…
View article: Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study
Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study Open
INTRODUCTION The contribution of neuropsychological assessments to risk assessment for incident dementia is underappreciated. METHODS We analyzed neuropsychological testing results in dementia‐free participants in the Atherosclerosis Risk …
View article: Smartphone‐based optical sectioning (SOS) microscopy with a telecentric design for fluorescence imaging
Smartphone‐based optical sectioning (SOS) microscopy with a telecentric design for fluorescence imaging Open
We propose a smartphone‐based optical sectioning (SOS) microscope based on the HiLo technique, with a single smartphone replacing a high‐cost illumination source and a camera sensor. We built our SOS with off‐the‐shelf optical, mechanical …
View article: A comprehensive overview of diffuse correlation spectroscopy: theoretical framework, recent advances in hardware, analysis, and applications
A comprehensive overview of diffuse correlation spectroscopy: theoretical framework, recent advances in hardware, analysis, and applications Open
Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have further boosted the development of new DCS methods. However, newc…
View article: Optimizing microlens arrays for incoherent HiLo microscopy
Optimizing microlens arrays for incoherent HiLo microscopy Open
HiLo microscopy is a powerful, low-cost, and easily configurable technique for acquiring high-contrast optically-sectioned images. However, traditional HiLo microscopes are based on coherent light sources with diffusive glass plates or inc…
View article: Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method
Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method Open
DCS-NET can robustly quantify blood flow measurements at considerable source-detector distances, corresponding to much deeper biological tissues. It has excellent potential for hardware implementation, promising continuous real-time blood …
View article: High-performance reconstruction method combining total variation with a video denoiser for compressed ultrafast imaging
High-performance reconstruction method combining total variation with a video denoiser for compressed ultrafast imaging Open
Compressed ultrafast photography (CUP) is a novel two-dimensional (2D) imaging technique to capture ultrafast dynamic scenes. Effective image reconstruction is essential in CUP systems. However, existing reconstruction algorithms mostly re…
View article: Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis Open
Diffuse correlation spectroscopy (DCS) is an emerging noninvasive technique that measures the tissue blood flow, by using near-infrared coherent point-source illumination to detect spectral changes. While machine learning has demonstrated …
View article: Living with multimorbidity: A qualitative exploration of shared experiences of patients, family caregivers, and healthcare professionals in managing symptoms in the United States
Living with multimorbidity: A qualitative exploration of shared experiences of patients, family caregivers, and healthcare professionals in managing symptoms in the United States Open
Aims To elicit experiences of patients, family caregivers, and healthcare professionals in intermediate care units (IMCUs) in an academic medical centre in Baltimore, MD related to the challenges and intricacies of multimorbidity managemen…
View article: Fast Cerebral Blood Flow Analysis via Extreme Learning Machine
Fast Cerebral Blood Flow Analysis via Extreme Learning Machine Open
We introduce a rapid and precise analytical approach for analyzing cerebral blood flow (CBF) using Diffuse Correlation Spectroscopy (DCS) with the application of the Extreme Learning Machine (ELM). Our evaluation of ELM and existing algori…
View article: Optimizing microlens arrays for incoherent HiLo microscopy
Optimizing microlens arrays for incoherent HiLo microscopy Open
HiLo microscopy is a powerful, low-cost, and easily configurable technique for acquiring high-contrast optically-sectioned images. However, traditional HiLo microscopes are based on coherent light sources with diffusive glass plates or inc…
View article: Deep learning enhanced fast fluorescence lifetime imaging with a few photons
Deep learning enhanced fast fluorescence lifetime imaging with a few photons Open
We present a deep learning (DL) framework, termed few-photon fluorescence lifetime imaging (FPFLI), for fast analysis of fluorescence lifetime imaging (FLIM) data under highly low-light conditions with only a few photons per pixel. FPFLI b…
View article: Lipid droplets are intracellular mechanical stressors that impair hepatocyte function
Lipid droplets are intracellular mechanical stressors that impair hepatocyte function Open
Matrix stiffening and external mechanical stress have been linked to disease and cancer development in multiple tissues, including the liver, where cirrhosis (which increases stiffness markedly) is the major risk factor for hepatocellular …