Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…Abstract A large-area event-mode camera system coupled with a $$^{6}$$ LiF-ZnS:Ag scintillator is applied for neutron resonance imaging (NRI) on the energy-resolved neutron imaging (ERNI) flight path, also known as Flight Path 5 (FP5), at the Los Alamos Neutron Science Center (LANSCE). …”
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Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…These results showed that the CNN-LSTM model excelled in extracting complex spectral features and offering strong generalization and classification capabilities. …”
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Study on the Microscale Tensile Properties of Lower Cambrian Niutitang Formation Shale Based on Digital Images by Huailei Song, Zhonghu Wu, Anli Wang, Wenjibin Sun, Hao Liu, Yili Lou, Yujun Zuo

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LSEVGG: An attention mechanism and lightweight-improved VGG network for remote sensing landscape image classification by Yao Lu

“…Remote sensing landscape image classification is essential for environmental monitoring, land management, and ecological assessment, but presents critical challenges due to complex spatial distributions and high intra-class variability inherent in landscape scenes. …”
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Cognitive Impairment and Brain Imaging Characteristics of Patients with Congenital Cataracts, Facial Dysmorphism, Neuropathy Syndrome by Teodora Chamova, Dora Zlatareva, Margarita Raycheva, Stoyan Bichev, Luba Kalaydjieva, Ivailo Tournev

“…Congenital cataracts, facial dysmorphism, neuropathy (CCFDN) syndrome is a complex autosomal recessive multisystem disorder. …”
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Is There Any Correlation Between Diffusion‐Weighted Imaging and Histopathologic Findings of Meningioma? A Retrospective Study by Mahrokh Sadat Vaziri, Fahimeh Zeinalkhani, Soroush Alaeddini, Vahid Soleimani, Jayran Zebardast, Peyman Kamali Hakim, Hadise Zeinalkhani, Fahime Azizinik, Sina Delazar

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Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models. by Georgios C Manikis, Kostas Marias, Doenja M J Lambregts, Katerina Nikiforaki, Miriam M van Heeswijk, Frans C H Bakers, Regina G H Beets-Tan, Nikolaos Papanikolaou

“…<h4>Results</h4>All candidate models achieved a good fitting performance with the two most complex models, the BG and the BNG, exhibiting the best fitting performance. …”
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Multiscale pore/throat characterization in tight sandstone formation with multi-threshold image segmentation algorithm by Hu Rongrong, Han Jiangchen, Wang Chenchen, Zhu Jian, Dong Hu

“…IntroductionPore space in tight sandstone formation is very complex with micro-scale and nano-scale pores/throats, the multi-scale characteristics needs to be considered for the construction of microscopic pore model accurately.MethodsIn this paper, micro-CT is used to obtain the representative 3D micro-scale gray image, and nano-CT is used to obtain the representative 3D nano-scale gray image based on the representative nano subsample. …”
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M.N. Muravyev and the Icons of St. Isaac’s Cathedral in Vilna: Imperial Transfer of Sacral Images? by Oleg Lyubeznikov

“…The purpose of this article is to analyze the complex of archival and published sources and reconstruct the history of sending the icons of St. …”
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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…This review has proposed an innovative method that integrates spectral and image data, enhancing the accuracy of pesticide residue detection through the construction of interpretable machine learning algorithms, and providing support for the intelligent sensing and analysis of agricultural and food products.…”
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DMoC-UNet: A Dynamic Mixture-of-Convolution Network for Enhanced Pathological Image Segmentation by Jingwei Zhu, Lining Qin, Zixin Teng, Xiaomin Li, Kuiwu Li, Haoran Chu

“…Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. …”
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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…BCTDNet’s effectiveness and robustness in complex urban scenarios highlight its potential for applications in land-use analysis and urban planning.…”
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Development of an AI model for pneumothorax imaging: Dataset and model optimization strategies for real-world deployment by Wen-Chang Tseng, Yung-Cheng Wang, Wei-Chi Chen, Kang-Ping Lin

“…Conclusions: The AI model shows potential in pneumothorax detection, but performance is influenced by data diversity, image quality, and clinical complexity. The model struggles to identify key areas in complex cases, indicating a need for attention mechanisms or region proposal networks (RPN). …”
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TBFH: A Total-Building-Focused Hybrid Dataset for Remote Sensing Image Building Detection by Lin Yi, Feng Wang, Guangyao Zhou, Niangang Jiao, Minglin He, Jingxing Zhu, Hongjian You

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Versatile whole-organ/body staining and imaging based on electrolyte-gel properties of biological tissues by Etsuo A. Susaki, Chika Shimizu, Akihiro Kuno, Kazuki Tainaka, Xiang Li, Kengo Nishi, Ken Morishima, Hiroaki Ono, Koji L. Ode, Yuki Saeki, Kazunari Miyamichi, Kaoru Isa, Chihiro Yokoyama, Hiroki Kitaura, Masako Ikemura, Tetsuo Ushiku, Yoshihiro Shimizu, Takashi Saito, Takaomi C. Saido, Masashi Fukayama, Hirotaka Onoe, Kazushige Touhara, Tadashi Isa, Akiyoshi Kakita, Mitsuhiro Shibayama, Hiroki R. Ueda

“…By dissecting the complex physicochemical environment of the staining system, we developed a highly optimized 3D staining imaging pipeline based on CUBIC. …”
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Advancements, challenges, and future prospects in clinical hyperpolarized magnetic resonance imaging: A comprehensive review by Ching-Yi Hsieh, Ying-Chieh Lai, Kuan-Ying Lu, Gigin Lin

“…Current challenges, such as limited imaging windows, complex pre-scan protocols, and data processing difficulties, are addressed through innovative solutions like advanced pulse sequences, bolus tracking, and kinetic modeling. …”
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Single-cell mitochondrial morphomics reveals cellular heterogeneity and predicts complex I, III, and ATP synthase Inhibition responses by Ratneswary Sutharsan, Maddi Biaut Hontaas, Yan Li, Hao Xiong, Hartwig Preckel, Carolyn M. Sue, Gautam Wali

“…In this study, we describe a high-throughput imaging and analysis approach to investigate cell-to-cell mitochondrial variability. …”
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The influence of service quality on student satisfaction and student loyalty in Vietnam: the moderating role of the university image by Hoang Viet Nguyen, Tuan Duong Vu, Muhammad Saleem, Asif Yaseen

“…Practical implications – This study’s findings highlight the complexity of service quality in the higher education context and encourage higher education institutions to improve their service quality in image to enhance student satisfaction and loyalty. …”
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Atomically resolved imaging of the conformations and adsorption geometries of individual β-cyclodextrins with non-contact AFM by Márkó Grabarics, Benjamín Mallada, Shayan Edalatmanesh, Alejandro Jiménez-Martín, Martin Pykal, Martin Ondráček, Petra Kührová, Weston B. Struwe, Pavel Banáš, Stephan Rauschenbach, Pavel Jelínek, Bruno de la Torre

“…However, due to the extraordinary complexity and conformational flexibility of glycans, state-of-the-art glycan analysis methods often fail to provide structural information with atomic precision. …”
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Retinal fundus imaging as biomarker for ADHD using machine learning for screening and visual attention stratification by Hangnyoung Choi, JaeSeong Hong, Hyun Goo Kang, Min-Hyeon Park, Sungji Ha, Junghan Lee, Sangchul Yoon, Daeseong Kim, Yu Rang Park, Keun-Ah Cheon

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