A novel SUN1-ALLAN complex coordinates segregation of the bipartite MTOC across the nuclear envelope during rapid closed mitosis in Plasmodium berghei by Mohammad Zeeshan, Igor Blatov, Ryuji Yanase, David JP Ferguson, Sarah L Pashley, Zeinab Chahine, Yoshiki Yamaryo-Botté, Akancha Mishra, Baptiste Marche, Suhani Bhanvadia, Molly Hair, Sagar Batra, Robert Markus, Declan Brady, Andrew R Bottrill, Sue Vaughan, Cyrille Y Botté, Karine G Le Roch, Anthony A Holder, Eelco Tromer, Rita Tewari

“…ALLAN, a divergent allantoicase, has a location like that of SUN1, and these proteins form a unique complex, detected by live-cell imaging, ultrastructural expansion microscopy, and interactomics. …”
Get full text

‘Russia Lifting Up Its Grateful Gaze’: On One Motive of the Feminine Representations of Russia in the Allegorical Images of the 18th Century by Leskinen Maria V.

“…The distinctive features of the feminine allegory of Russia in the image of a ‘majestic wife’ with a complex of attributes are also shown. …”
Get full text

Robust Multi-Subtype Identification of Breast Cancer Pathological Images Based on a Dual-Branch Frequency Domain Fusion Network by Jianjun Li, Kaiyue Wang, Xiaozhe Jiang

“…However, the extraction of key information from complex medical images and the attainment of high-precision classification present a significant challenge. …”
Get full text

SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning by Anjali Shinde, Essa Q. Shahra, Shadi Basurra, Faisal Saeed, Abdulrahman A. AlSewari, Waheb A. Jabbar

“…This paper explores the development of a sophisticated model designed to identify smishing messages by understanding the complex relationships among words, images, and context-specific factors, areas that remain underexplored in existing research. …”
Get full text

Machine Learning‐Based Identification of Children With Intermittent Exotropia Using Multiple Resting‐State Functional Magnetic Resonance Imaging Features by Mengdi Zhou, Huixin Li, Xiaoxia Qu, Lirong Zhang, Xueying He, Xiwen Wang, Jie Hong, Jing Fu, Zhaohui Liu

“…The linear regression (LR) classifier with analysis of variance (ANOVA) feature selection achieved the highest area under the receiver operator characteristic curve values (0.957, 0.804, and 0.818 for the training, validation, and test datasets, respectively) using five features, including the slow‐5 fALFF values of the right inferior parietal gyrus (IPG), right supplementary motor area (SMA), left primary somatosensory complex, right frontal opercula, and left dorsolateral prefrontal cortex (DLPFC), and the accuracy, sensitivity, and specificity values were 0.759, 0.759, and 0.760, respectively. …”
Get full text

Advanced stress imaging in periodically strained, suspended, quasi-2D membranes: Manifestation of Fano resonance and phonon dynamics insights by Souvik Bhattacharjee, Biswajit Das, Anibrata Banerjee, Kalyan Kumar Chattopadhyay

Get full text

Super-resolution imaging in whole cells and tissues via DNA-PAINT on a spinning disk confocal with optical photon reassignment by Cecilia Zaza, Megan D. Joseph, Olivia P. L. Dalby, Rhian F. Walther, Karol Kołątaj, Germán Chiarelli, Franck Pichaud, Guillermo P. Acuna, Sabrina Simoncelli

“…These results underscore the versatility of DNA-PAINT on an SDC-OPR for advancing super-resolution imaging in complex biological systems.…”
Get full text

MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…Due to the complex sea background and the different sizes and shapes of ships, the detection of ship targets has the problems of low detection rate, high false detection rate and high missed detection rate. …”
Get full text

Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…Furthermore, visual analysis indicates that CTM accurately captures real change regions while significantly suppressing pseudo-changes, maintaining high descriptive accuracy even in complex environments. …”
Get full text

Hyperspectral imaging-driven deep learning approach: Asymptomatic stage detection and severity grading of tomato yellow leaf curl disease by Junzhi Chen, Wenshan Zhong, Xuejun Yue, Ziyu Ding, Mengdan Du, Xuantian Li, Biao Chen, Haifeng Li, ZiFu He, Xiaoman She, Yafei Tang

“…This study proposes a spectral-spatial dual-branch residual network (SSDBRN) designed to fully extract and leverage complex features within hyperspectral images, aiming to achieve detection of TYLCD during its asymptomatic stage and classification of disease severity levels. …”
Get full text

Defects Localization and Classification Method of Power Transmission Line Insulators Aerial Images Based on YOLOv5 EfficientNet and SVM by Lin Li, Qiaoling Yin, Xiaofeng Wang, Hang Wang

“…Accurate localization and classification of defects in insulator images captured by UAVs (Unmanned Aerial Vehicles) are critical for the maintenance of high-voltage power transmission grids. …”
Get full text

A Study on the Timing Sensitivity of the Transient Dose Rate Effect on Complementary Metal-Oxide-Semiconductor Image Sensor Readout Circuits by Yanjun Fu, Zhigang Peng, Zhiyong Dong, Pei Li, Yuan Wei, Dongya Zhang, Yinghong Zuo, Jinhui Zhu, Shengli Niu

“…However, the readout circuits of pixel arrays are vulnerable to functional failures in complex or intense radiation environments, particularly due to transient γ radiation. …”
Get full text

Automated Cervical Cytology Image Cell Segmentation Using Enhanced MultiResUNet With DCT and Spectral Domain Attention Mechanisms by S. Resmi, Rimjhim Padam Singh, Kannappan Palaniappan

“…Precise cytoplasm and nucleus segmentation in cervical cytology images is a crucial phase of this automated image analysis, but due to the unavailability of higher quality open-source cervical datasets, the deep learning-based automated cytology segmentation is still in the developing stage and is a vital area of research. …”
Get full text

B-Scan and “En-Face” Spectral-Domain Optical Coherence Tomography Imaging for the Diagnosis and Followup of Acute Retinal Pigment Epitheliitis by Flore De Bats, Benjamin Wolff, Martine Mauget-Faÿsse, Claire Scemama, Laurent Kodjikian

Get full text

Mapping Urban Areas and Infrastructure Through Fusion of Airborne SAR 3-D Images: A Comparative Study With ALS Sensors by Elias Mendez Dominguez, Peter Brotzer, Emiliano Casalini, David Small

Get full text

Weekly Image Guidance in Patients With Cervical Cancer Treated With Intensity‐Modulated Radiation Therapy: Results of a Large Cohort Study by Zheng Zeng, Weiping Wang, Junfang Yan, Dingchao Liu, Fuquan Zhang, Ke Hu

Get full text

Feasibility of Implementing Motion-Compensated Magnetic Resonance Imaging Reconstruction on Graphics Processing Units Using Compute Unified Device Architecture by Mohamed Aziz Zeroual, Natalia Dudysheva, Vincent Gras, Franck Mauconduit, Karyna Isaieva, Pierre-André Vuissoz, Freddy Odille

“…Motion correction in magnetic resonance imaging (MRI) has become increasingly complex due to the high computational demands of iterative reconstruction algorithms and the heterogeneity of emerging computing platforms. …”
Get full text

Auto Machine Learning and Convolutional Neural Network in Diabetes Mellitus Research—The Role of Histopathological Images in Designing and Exploring Experimental Models by Iulian Tătaru, Simona Moldovanu, Oana-Maria Dragostin, Carmen Lidia Chiţescu, Alexandra-Simona Zamfir, Ionut Dragostin, Liliana Strat, Carmen Lăcrămioara Zamfir

“…Histopathological images represent a valuable data source for pathologists, who can provide clinicians with essential landmarks for complex pathologies. …”
Get full text

Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

“…The complexity and variability of medical imaging continue to impair the feasibility of early detection of colorectal cancer, despite its critical role in improving patient outcomes. …”
Get full text

Advanced AI-driven detection of cinnamon powder adulteration using near-infrared spectroscopy and deep learning image recognition technique by Hao-Hsiang Ku, Ya-Chuan Liao, Ching-Ho Chi

“…It provides two reference models, NIR-DL and Image-DL, suitable for NIR data analysis and image analysis, respectively. …”
Get full text