Enhanced Sensitivity of Cell Identification in Complex Environments Using Chirally Inverted L‐DNA‐Based Logic Devices by Zixi Lai, Di Jin, Yuan Tian, Xiaoxing Chen, Da Han, Haige Chen, Junyan Wang, Yang Yang

“…However, the susceptibility of natural DNA (D‐DNA) to degradation can compromise the sensitivity and specificity of these devices, potentially leading to false‐positive and false‐negative results, particularly in complex biological environments. To address this issue, dual‐ and triple‐aptamer‐based cell‐surface logic devices are designed and developed using mirror‐image L‐DNA, a chiral molecule of D‐DNA with high biostability. …”
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Harnessing Advanced Imaging Technologies in Robotic Urological Surgery Requires Specialized and Structured Training by Enrico Checcucci, Stefano Puliatti, Gabriele Volpi, Gabriele Bignante, Francesco Porpiglia, Riccardo Campi, Daniele Amparore

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Development of an AI model for DILI-level prediction using liver organoid brightfield images by Shiyi Tan, Yan Ding, Wei Wang, Jianhua Rao, Feng Cheng, Qiuyin Zhang, Tingting Xu, Tianmu Hu, Qinyi Hu, Ziliang Ye, Xiaopeng Yan, Xiaowei Wang, Mingyue Li, Peng Xie, Zaozao Chen, Geyu Liang, Yuepu Pu, Juan Zhang, Zhongze Gu

“…Abstract AI image processing techniques hold promise for clinical applications by enabling analysis of complex status information from cells. …”
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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection by Hanchi Liu, Jinrong He, Yanxin Shi, Yingzhou Bi

“…To deal with the challenges of the long incubation period, strong infectivity, and difficulty in the prevention and control of apple core browning, a novel non-destructive detection method for apple core browning has been developed through combining hyperspectral imaging and dielectric techniques. To reduce the computational complexity of high-dimensional multi-view data, canonical correlation analysis is employed for feature dimensionality reduction. …”
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A secure medical image encryption technique based on DNA cryptography with elliptic curves by V. N. Senthil Kumaran, T. Manikandan, Rajesh Kumar Dhanaraj, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

“…With progress in imaging technologies and biomedical processing algorithms, the amount of image data increases rapidly. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…Another challenge is the limited generalizability of current diagnostic techniques, which perform well in controlled environments but often need to improve when applied to new, unseen data from different institutions or imaging systems. Additionally, the complexity of histopathological analysis means that it can be difficult for clinicians to interpret certain findings, leading to uncertainty in the diagnostic process. …”
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An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

“…BackgroundIn vivo confocal microscopy (IVCM) is a crucial imaging modality for assessing corneal diseases, yet distinguishing pathological features from normal variations remains challenging due to the complex multi-layered corneal structure. …”
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Dual-task vision transformer for rapid and accurate intracerebral hemorrhage CT image classification by Jialiang Fan, Xinhui Fan, Chengyan Song, Xiaofan Wang, Bingdong Feng, Lucan Li, Guoyu Lu

“…However, the complexity of ICH CT images and the frequent scarcity of specialist radiologists pose significant challenges. …”
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Highly Accelerated Dual-Pose Medical Image Registration via Improved Differential Evolution by Dibin Zhou, Fengyuan Xing, Wenhao Liu, Fuchang Liu

“…Medical image registration is an indispensable preprocessing step to align medical images to a common coordinate system before in-depth analysis. …”
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Investigating the vertical and lateral heterogeneity in an Iranian carbonate reservoir using advanced petrophysical logs, petrographic data and image processing techniques by Saeed Yarmohammadi, Abdolrahim Javaherian, Mohammad Sharifi, Mohammad Reza Saberi, Hadi Mahdavi Basir

“…Abstract Carbonate formations, known for their complex characteristics, require detailed internal heterogeneity knowledge for effective exploration and production. …”
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Assessing the effects of biostimulants on spinach through a Field-to-Lab approach for PET imaging by Emanuele Antonecchia, Giancarlo Pagnani, Afsaneh Nematpour, Daniele Passaretti, Nicola D'Ascenzo, Michele Pisante

“…However, conventional PET imaging methods remain limited. First, plants studied under hyper-controlled laboratory conditions do not reflect the real-world environmental complexity. …”
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The Experimental Demonstration of Correcting the Atmospheric Dispersion Using Image Processing Based on Edge Extension by Sijie Kong, Jin Zhou, Wenli Ma

“…The Elden model is used to estimate the image dispersion index caused by atmospheric dispersion and the image affected by the atmospheric dispersion is regarded as the results of the original image convolution operation. …”
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Research and Implementation of Image Super Resolution Reconstruction Technology in Python Deep Learning Framework by Qiu Bohan

“…Firstly, the article outlines the basic concept of image super-resolution and points out that in practical applications, the main challenges in current technological development include the demand for computing resources, data problems, model complexity, authenticity of image reconstruction, and robustness of models. …”
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An Exploration of the Artistic Image of Female Characters in Chinese Independent Female-Oriented TV Series by Zhai Zixuan

“…This paper studies the artistic image of female characters in Chinese independent female-themed TV dramas, mainly exploring whether the female characters in such themed TV dramas are diversified and full, whether they have certain values, and whether they are fully embodied in the image of women. …”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

“…Hyperspectral image (HSI) classification, as a pivotal technology in remote sensing data processing, has garnered significant attention in recent years. …”
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Prefabricated speckle as enhancement of digital image correlation speckle patterning efficiency for masonry testing by Aimi Munirah Jalilluddin, Fadzli Mohamed Nazri, Muhammad Umar Zulkefli

“…Digital Image Correlation (DIC) requires a high-quality speckle pattern for accurate strain and deformation measurements. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…Remarkably, the proposed architecture requires only 0.03 s per image inference while achieving 27× parameter compression, 10× acceleration in inference speed, and 53× reduction in computational complexity compared to conventional approaches, establishing new benchmarks for efficient yet accurate medical image analysis.…”
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Enhanced nuclear information fusion and visual transformer for pathological breast cancer image classification by Qinyi Zhang, Honglei Gao, Wenhao Li, Zhipeng Xu, Ting Ouyang, Zongyun Gu

“…However, the low resolution of pathological images poses significant challenges for the extraction of valid information, while their high complexity greatly increases the difficulty of image analysis. …”
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PlantNet: Scalable Convolutional Neural Network for Image-Based Plant Disease Detection by Sinha Anupa, Kumaraswamy Balasubramaniam

“…The model employs transfer learning, utilizing pre-trained networks on vast image repositories before fine-tuning on a specialized plant disease dataset, thereby enhancing feature extraction while minimizing computational complexity. …”
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Monitoring method for borehole images of changes in overlying rock structure during coal mining by Wang Jinchao, Zou Junpeng, Wang Chao, Han Zengqiang, Li Xiaobin, Chen Ming

“…Firstly, based on the characteristics of rock structure borehole images collected in actual borehole environments, a preprocessing method for rock structure borehole images that can weaken the brightness and darkness features caused by lighting intensity is constructed to improve the recognition ability of borehole images. …”
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