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  • Open Access

    ARTICLE

    Enhanced 3D Point Cloud Reconstruction for Light Field Microscopy Using U-Net-Based Convolutional Neural Networks

    Shariar Md Imtiaz1, Ki-Chul Kwon1, F. M. Fahmid Hossain1, Md. Biddut Hossain1, Rupali Kiran Shinde1, Sang-Keun Gil2, Nam Kim1,*

    Computer Systems Science and Engineering, Vol.47, No.3, pp. 2921-2937, 2023, DOI:10.32604/csse.2023.040205

    Abstract This article describes a novel approach for enhancing the three-dimensional (3D) point cloud reconstruction for light field microscopy (LFM) using U-net architecture-based fully convolutional neural network (CNN). Since the directional view of the LFM is limited, noise and artifacts make it difficult to reconstruct the exact shape of 3D point clouds. The existing methods suffer from these problems due to the self-occlusion of the model. This manuscript proposes a deep fusion learning (DL) method that combines a 3D CNN with a U-Net-based model as a feature extractor. The sub-aperture images obtained from the light field microscopy are aligned to form… More >

  • Open Access

    ARTICLE

    Classification of Human Protein in Multiple Cells Microscopy Images Using CNN

    Lina Al-joudi, Muhammad Arif*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1763-1780, 2023, DOI:10.32604/cmc.2023.039413

    Abstract The subcellular localization of human proteins is vital for understanding the structure of human cells. Proteins play a significant role within human cells, as many different groups of proteins are located in a specific location to perform a particular function. Understanding these functions will help in discovering many diseases and developing their treatments. The importance of imaging analysis techniques, specifically in proteomics research, is becoming more prevalent. Despite recent advances in deep learning techniques for analyzing microscopy images, classification models have faced critical challenges in achieving high performance. Most protein subcellular images have a significant class imbalance. We use oversampling… More >

  • Open Access

    ARTICLE

    A Simple Clear Technique in Observing Vascular Development of Grape Ovary

    Teng Fei1, Youmei Li1, Bo Li2, Zhaosen Xie1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.7, pp. 2117-2132, 2023, DOI:10.32604/phyton.2023.028208

    Abstract The vascular system of the grapevine (Vitis vinifera L.) flower is a channel for transporting water and nutrients to the ovary. It plays an important role in the development of the ovary and fertilization through pollination. However, the vascular bundles in the flower are so tiny that they are difficult to sample and observe by traditional slicing techniques. In this study, ‘Summer Black’ grape flowers were selected as the test materials, and the tissue samples were treated by the optical clearing technique. After simple compaction, the structure and development of the vasculature were observed by common microscopy, fluorescence microscopy and… More >

  • Open Access

    ARTICLE

    Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network (CNN)

    Arfat Ahmad Khan1, Malik Muhammad Ali Shahid2, Rab Nawaz Bashir2, Salman Iqbal2, Arshad Shehzad Ahmad Shahid3, Javeria Maqbool4, Chitapong Wechtaisong5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3743-3761, 2023, DOI:10.32604/cmc.2023.033924

    Abstract COVID-19 disease caused by the SARS-CoV-2 virus has created social and economic disruption across the world. The ability of the COVID-19 virus to quickly mutate and transfer has created serious concerns across the world. It is essential to detect COVID-19 infection caused by different variants to take preventive measures accordingly. The existing method of detection of infections caused by COVID-19 and its variants is costly and time-consuming. The impacts of the COVID-19 pandemic in developing countries are very drastic due to the unavailability of medical facilities and infrastructure to handle the pandemic. Pneumonia is the major symptom of COVID-19 infection.… More >

  • Open Access

    ARTICLE

    A SEM Record of Proteins-Derived Microcellular Silicon Carbide Foams

    A. Pizzi1,2,*, C. Zollfrank3, X. Li1, M. Cangemi1, A. Celzard4

    Journal of Renewable Materials, Vol.2, No.3, pp. 230-234, 2014, DOI:10.7569/JRM.2014.634114

    Abstract Protein rigid foams based on albumin coreacted with camphor and an aldehyde were converted into silicon carbide (SiC) foams. This was carried out by putting albumin-derived template foams in contact with silicon compounds in liquid phase and calcinating the mix obtained at a relatively low temperature of 500°C to eliminate the protein and leave the SiC foam. The transformation was followed by scanning electron microscopy (SEM) from the natural albumin foams to the gel obtained by infi ltrating them with tetraethyl orthosilicate (TEOS) and to the appearance of the SiC foams after calcination. X-ray diffraction (XRD) and Raman spectra were… More >

  • Open Access

    ARTICLE

    Study on Properties of Blue-Brick Masonry Materials for Historical Buildings

    Shaochun Ma1,2,*, Lin Wang1, Peng Bao1,*

    Journal of Renewable Materials, Vol.10, No.7, pp. 1961-1978, 2022, DOI:10.32604/jrm.2022.018755

    Abstract There are a large number of historic buildings which were mainly made of blue-brick masonry in today’s world. However, for the natural and man-made reasons, these historic buildings have been damaged in different degrees. In order to protect historic buildings more scientifically and learn about the preservation state of existing historic buildings, it is necessary to ascertain the material properties of blue brick in historic buildings. The article takes the blue bricks of historical buildings in Kaifeng area of the Central Plains as an example to study. Through the analysis of physical properties, X-ray fluorescence spectroscopy, X-ray diffraction and scanning… More > Graphic Abstract

    Study on Properties of Blue-Brick Masonry Materials for Historical Buildings

  • Open Access

    ARTICLE

    Urdnet: A Cryo-EM Particle Automatic Picking Method

    Jianquan Ouyang1, Yue Zhang1, Kun Fang1,2,*, Tianming Liu3, Xiangyu Pan2

    CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1593-1610, 2022, DOI:10.32604/cmc.2022.025072

    Abstract Cryo-Electron Microscopy (Cryo-EM) images are characterized by the low signal-to-noise ratio, low contrast, serious background noise, more impurities, less data, difficult data labeling, simpler image semantics, and relatively fixed structure, while U-Net obtains low resolution when downsampling rate information to complete object category recognition, obtains high-resolution information during upsampling to complete precise segmentation and positioning, fills in the underlying information through skip connection to improve the accuracy of image segmentation, and has advantages in biological image processing like Cryo-EM image. This article proposes A U-Net based residual intensive neural network (Urdnet), which combines point-level and pixel-level tags, used to accurately… More >

  • Open Access

    ARTICLE

    Fiber Loading of Date Palm and Kenaf Reinforced Epoxy Composites: Tensile, Impact and Morphological Properties

    Syed Waheedullah Ghori1,*, G. Srinivasa Rao2

    Journal of Renewable Materials, Vol.9, No.7, pp. 1283-1292, 2021, DOI:10.32604/jrm.2021.014987

    Abstract Date palm fiber (DPF) and kenaf fiber were reinforced in epoxy having various fiber loading 40%, 50%, and 60% by weight. These hybrid samples were manufactured by hot press technique and then characterized for tensile, impact, and morphological behavior to evaluate the ratio of fibers in the hybrid composites; the addition of kenaf improved the tensile properties, Scanning Electron Microscopy (SEM) revealed the interfacial bonding of fiber/matrix, and dispersion and void content in composites. Impact test studies reflected the effect of natural fiber with epoxy, level of stress transfer from matrix to reinforced material, and reinforced material’s role in absorbing… More > Graphic Abstract

    Fiber Loading of Date Palm and Kenaf Reinforced Epoxy Composites: Tensile, Impact and Morphological Properties

  • Open Access

    ARTICLE

    Fabrication of Crack-Free Flattened Bamboo and Its Macro-/Micro-Morphological and Mechanical Properties

    Zhichao Lou1,2, Tiancheng Yuan1, Qiuyi Wang1, Xinwu Wu1, Shouheng Hu1, Xiaomeng Hao1, Xianmiao Liu3,*, Yanjun Li1,*

    Journal of Renewable Materials, Vol.9, No.5, pp. 959-977, 2021, DOI:10.32604/jrm.2021.014285

    Abstract This work aimed to help the bamboo industry develop methodology for producing imperfection-free bamboo boards that can serve either decorative or structural benefit to consumers seeking to engage with the bioeconomy. Specifi- cally, softened and slotted bamboo tubes were handled by a roller device with nails to render crack-free flattened bamboo board. Softening temperature and time were optimized herein according to findings regarding chemical composition and board mechanical properties. The optimal softening parameters for saturated steam heat treatment is proved to be 160°C for 8 minutes. The flattened bamboo board possesses an increased bending strength of 101.5 MPa and a… More >

  • Open Access

    REVIEW

    Tritrichomonas foetus: New structures by high-resolution scanning helium ion microscopy

    MARLENE BENCHIMOL1,3,*, ABIGAIL MIRANDA-MAGALHÃES2, ANTONIO PEREIRA-NEVES2, WANDERLEY DE SOUZA3

    BIOCELL, Vol.45, No.2, pp. 259-266, 2021, DOI:10.32604/biocell.2021.014599

    Abstract Helium ion scanning microscopy (HIM) is a novel high-resolution scanning microscopy technique that uses helium ions instead of electrons to form images of the highest quality and resolution, providing a sub-nanometer resolution sputter uncoated biological cell. Here, we took advantage of HIM to explore the cell surface of Tritrichomonas foetus, a protist parasite of cattle that provokes hard infection and abortion in cows. We describe thin protrusions, like nanotubes described in other cells, with different sizes (27 nm to 81 nm in thickness) and various lengths (from 73 nm to 2 µm), as well bulbous structures either budding from the… More >

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