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Single-shot 3D incoherent imaging with diffuser endoscopy

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Light(Advanced Manufacturing) 2024年第2期5卷 64-74页

作者： Julian Lich Tom Glosemeyer Jürgen Czarske robert kuschmierz Laboratory of Measurement and Sensor System Technique TU DresdenGermany Competence Center for Biomedical Computational Laser Systems(BIOLAS) TU DresdenGermany Else Kroner Fresenius Center for Digital Health(EKFZ) TU DresdenGermany Cluster of Excellence Physics of Life TU DresdenGermany

Minimally invasive endoscopy offers a high potential for biomedical imaging ***,conventional fiberoptic endoscopes require lens systems which are not suitable for real-time 3D ***,a diffuser is utilized for passively encoding incoherent 3D objects into 2D speckle *** networks are employed for fast computational image reconstruction beyond the optical memory *** this paper,we demonstrate single-shot 3D incoherent fiber imaging with keyhole access at video *** the diffuser fiber endoscope for fluorescence imaging is promising for in vivo deep brain diagnostics with cellular resolution.

关键词： Endoscopy Diffuser Deep learning Coherent fiber bundle Multicore fiber Neural networks Fiber optics Speckle patterns Fluorescence imaging

Ultra-thin 3D lensless fiber endoscopy using diffractive optical elements and deep neural networks

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Light(Advanced Manufacturing) 2021年第4期2卷 57-66页

作者： robert kuschmierz Elias Scharf David F.Ortegón-González Tom Glosemeyer Jürgen W.Czarske Laboratory of Measurement and Sensor System Technique TU DresdenHelmholtzstrasse 1801069 DresdenGermany Competence center for Biomedical Computational Laser Systems(BIOLAS) TU DresdenGermany Institute of Applied Physics School of SciencesTU DresdenGermany Excellence Cluster Physics of Life TU DresdenGermany

Minimally invasive endoscopes are indispensable in *** fiber bundles(CFBs)enable ultrathin lensless ***,the propagation of light through a CFB suffers from phase distortions and aberrations that can cause images to be *** correction of such aberrations has been demonstrated using various techniques for wavefront control,especially using spatial light modulators(SLMs).This study investigates a novel aberration correction without SLM for the creation of an efficient and compact *** memory effect of CFBs enables a paradigm shift in the use of static diffractive optical elements(DOEs)instead of dynamic modulation with *** introduce DOEs produced by 2-photon polymerization lithography for phase conjugation on a CFB for focusing,raster scanning,and ***,a DOE with random patterns is used to encode the three-dimensional(3D)object information in a 2D speckle pattern that propagates along the ultra-thin *** networks decode the speckles to retrieve the 3D object information using single-shot *** DOE methods have compact low-cost concepts in common,and both pave the way for minimally invasive 3D endomicroscopy with benefits for optical imaging in biomedicine.

关键词： correction speckle elements

Multi-Scale Dilated Convolution Network for SPECT-MPI Cardiovascular Disease Classification with Adaptive Denoising and Attenuation Correction

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 299-327页

作者： A.robert Singh Suganya Athisayamani Gyanendra Prasad Joshi Bhanu Shrestha Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203Tamil NaduIndia School of Computing Sastra Deemed to be UniversityThanjavur613401Tamil NaduIndia Department of Artificial Intelligence&Software Kangwon National UniversitySamcheok25913Republic of Korea Department of Information Convergence System Graduate School of Smart ConvergenceKwangwoon UniversitySeoul01897Republic of Korea

Myocardial perfusion imaging(MPI),which uses single-photon emission computed tomography(SPECT),is a well-known estimating tool for medical diagnosis,employing the classification of images to show situations in coronary artery disease(CAD).The automatic classification of SPECT images for different techniques has achieved near-optimal accuracy when using convolutional neural networks(CNNs).This paper uses a SPECT classification framework with three steps:1)Image denoising,2)Attenuation correction,and 3)Image *** denoising is done by a U-Net architecture that ensures effective image *** correction is implemented by a convolution neural network model that can remove the attenuation that affects the feature extraction process of ***,a novel multi-scale diluted convolution(MSDC)network is *** merges the features extracted in different scales and makes the model learn the features more *** scales of filters with size 3×3 are used to extract *** three steps are compared with state-of-the-art *** proposed denoising architecture ensures a high-quality image with the highest peak signal-to-noise ratio(PSNR)value of *** proposed classification method is compared with the five different CNN models,and the proposed method ensures better classification with an accuracy of 96%,precision of 87%,sensitivity of 87%,specificity of 89%,and F1-score of 87%.To demonstrate the importance of preprocessing,the classification model was analyzed without denoising and attenuation correction.

关键词： SPECT-MPI CAD MSDC denoising attenuation correction classification

Three-Stage Transfer Learning with AlexNet50 for MRI Image Multi-Class Classification with Optimal Learning Rate

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 155-183页

作者： Suganya Athisayamani A.robert Singh Gyanendra Prasad Joshi Woong Cho School of Computing Sastra Deemed to be UniversityThanjavur613401India Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathur603203India Department of AI and Software Engineering Kangwon National UniversitySamcheok25913Republic of Korea Department of Electronics Information and Communication EngineeringKangwon National UniversitySamcheok25913Republic of Korea

In radiology,magnetic resonance imaging(MRI)is an essential diagnostic tool that provides detailed images of a patient’s anatomical and physiological *** is particularly effective for detecting soft tissue ***,radiologists manually interpret these images,which can be labor-intensive and time-consuming due to the vast amount of *** address this challenge,machine learning,and deep learning approaches can be utilized to improve the accuracy and efficiency of anomaly detection in MRI *** manuscript presents the use of the Deep AlexNet50 model for MRI classification with discriminative learning *** are three stages for learning;in the first stage,the whole dataset is used to learn the *** the second stage,some layers of AlexNet50 are frozen with an augmented dataset,and in the third stage,AlexNet50 with an augmented dataset with the augmented *** method used three publicly available MRI classification datasets:Harvard whole brain atlas(HWBA-dataset),the School of Biomedical Engineering of Southern Medical University(SMU-dataset),and The National Institute of Neuroscience and Hospitals brain MRI dataset(NINS-dataset)for *** hyperparameter optimizers like Adam,stochastic gradient descent(SGD),Root mean square propagation(RMS prop),Adamax,and AdamW have been used to compare the performance of the learning ***-dataset registers maximum classification *** evaluated the performance of the proposed classification model using several quantitative metrics,achieving an average accuracy of 98%.

关键词： MRI tumors classification AlexNet50 transfer learning hyperparameter tuning optimizer

Climate Change:No Going Back

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China Today 2025年第1期74卷 42-44页

作者： robert WALKER Beijing Normal University Royal Society of Arts Academy of Social Sciences in the U.K

With a commitment to reduce emissions,and its investment in green technology bringing down global costs,China is emerging as the leader in fighting climate *** knows that our world is getting *** also know *** out po... 详细信息

关键词： investment bringing fighting

Human endogenous retrovirus type-W and multiple sclerosis–related smoldering neuroinflammation

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Neural Regeneration Research 2025年第3期20卷 813-814页

作者： Joel Gruchot Laura Reiche Andrew Chan robert Hoepner Patrick Küry Department of Neurology Medical Faculty and University Hospital DüsseldorfHeinrich Heine University DüsseldorfDüsseldorfGermany Department of Neurology InselspitalBern University Hospital and University of BernBernSwitzerland

Introduction to human endogenous retrovirus type-W(HERV-W): Genomic inheritance from the past includes retroviral sequences that have been stably incorporated into our genomes and account for up to 8% of human DNA.

关键词： endogenous inflammation Human

Lipid droplets in the nervous system:involvement in cell metabolic homeostasis

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Neural Regeneration Research 2025年第3期20卷 740-750页

作者： Yuchen Zhang Yiqing Chen Cheng Zhuang Jingxuan Qi robert Chunhua Zhao Jiao Wang School of Life Sciences Shanghai UniversityShanghaiChina School of Medicine Shanghai UniversityShanghaiChina Institute of Basic Medical Sciences Chinese Academy of Medical Sciences School of Basic MedicinePeking Union Medical CollegeBeijingChina Center of Excellence in Tissue Engineering Chinese Academy of Medical SciencesBeijingChina Beijing Key Laboratory of New Drug Development and Clinical Trial of Stem Cell Therapy BeijingChina

Lipid droplets serve as primary storage organelles for neutral lipids in neurons,glial cells,and other cells in the nervous *** droplet formation begins with the synthesis of neutral lipids in the endoplasmic ***,lipid droplets were recognized for their role in maintaining lipid metabolism and energy homeostasis;however,recent research has shown that lipid droplets are highly adaptive organelles with diverse functions in the nervous *** addition to their role in regulating cell metabolism,lipid droplets play a protective role in various cellular stress ***,lipid droplets exhibit specific functions in neurons and glial *** of lipid droplet formation leads to cellular dysfunction,metabolic abnormalities,and nervous system *** review aims to provide an overview of the role of lipid droplets in the nervous system,covering topics such as biogenesis,cellular specificity,and ***,it will explore the association between lipid droplets and neurodegenerative *** the involvement of lipid droplets in cell metabolic homeostasis related to the nervous system is crucial to determine the underlying causes and in exploring potential therapeutic approaches for these diseases.

关键词： Alzheimer's disease lipid droplet biogenesis lipid droplets lipid metabolism nervous system neurodegenerative disorders oxidative stress Parkinson's disease

Sleep as a window to understand and regulate Alzheimer's disease:emerging roles of thalamic reticular nucleus

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Neural Regeneration Research 2025年第6期20卷 1711-1712页

作者： Haoqi Sun Shiqian Shen robert J.Thomas M.Brandon Westover Can Zhang Department of Neurology Beth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA Center for Translational Pain Research Department of AnesthesiaCritical Care and Pain MedicineMassachusetis General HospitalHarvard Medical SchoolBostonMAUSA Division of Pulmonary Critical Care and Sleep MedicineDepartment of MedicineBeth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMAUSA Genetics and Aging Research Unit McCance Center for Brain HealthMass General Institute for Neurodegenerative DiseaseDepartment of NeurologyMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA

Introduction:Alzheimer 's disease(AD) is a common neurodegenerative disorder and the primary cause of dementia. Considerable evidence supports the “amyloid hypothesis,” stating that the pathogenesis of AD is primarily caused by the deposition of amyloid-β(Aβ), which drives tau phosphorylation, neuroinflammation, and neurodegeneration in the brain. The amyloid hypothesis is strengthened by the significant and moderate benefit of lecanemab, a humanized antibody through an anti-amyloid mechanism,showing slowed clinical decline(van Dyck et al.,2023). The recent positive results of anti-amyloid trials have brought back focus on the amyloid hypothesis through biochemical, genetic, and pharmacological approaches(Zhang, 2023).

关键词： Alzheimer inflammation hypothesis

Prof. robert S. Warren: come early, stay late and listen

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Hepatobiliary Surgery and Nutrition 2020年第1期9卷 122-123页

作者：无 robert S.Warre HBSN the University of California School of Medicine

Expert’s introduction robert ***,MD(Figure 1)is a Professor of Surgery in the University of California School of Medicine and a specialist in gastrointestinal and liver *** earned a medical degree at the University of Minnesota,where he completed a general surgery *** completing an oncology research fellowship at Memorial Sloan-Kettering Cancer Center in New York,***,joined UCSF Medical Center in 1988.A board-certified surgeon,he later became the Chief of Surgical Oncology at *** respected by his peers,*** was named to the list of ***"America’s Top Doctors",a distinction reserved for the top 1%of physicians in the nation for a given *** research focuses on the biology of colorectal cancer(CRC)and how it spreads.

关键词： Surgery Figure Warren