Long-Term Evaluation of Capsulotomy Shape and Posterior Capsule Opacification after Low-Energy Bimanual Femtosecond Laser-Assisted Cataract Surgery by Tommaso Verdina, Chiara Peppoloni, Lucrezia Barbieri, Maria Rosaria Carbotti, Bruno Battaglia, Rodolfo Mastropasqua, Gian Maria Cavallini

“…A digital image of the capsule with slit-lamp retroillumination was performed in all patients at 18 months of follow-up. Image analysis software (ImageJ) was used to evaluate the shape of the capsulotomy in terms of diameter, area, and circularity. …”
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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

“…Advanced computational techniques, particularly preprocessing methods and deep learning models, have demonstrated significant potential for improving medical image analysis. However, determining the optimal combination of these techniques across different types of medical images remains a challenge. …”
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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

“…The device works through image analysis of a sticky sheet previously placed under the beehive for some days, intercepting the Varroa mites that naturally fall. …”
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Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods by A. Yu. Pronozin, A. A. Paulish, E. A. Zavarzin, A. Yu. Prikhodko, N. M. Prokhoshin, Yu. V. Kruchinina, N. P. Goncharov, E. G. Komyshev, M. A. Genaev

“…The traits were obtained as a result of image analysis using the WERecognizer program. A cluster analysis of plants according to the characteristics of the spike shape and comparison of their distributions in tetraploid and hexaploid species showed a higher variability of traits in hexaploid species compared to tetraploid ones. …”
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Universal conditional networks (UniCoN) for multi-age embryonic cartilage segmentation with Sparsely annotated data by Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Jose Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin Wang Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

“…These results highlight the potential of our approach for developing robust, universal models capable of handling diverse datasets with limited annotated data, a key challenge in DL-based medical image analysis.…”
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Bone scan images dataset for study of bone metastases in adult breast cancer patients at IICS-UNA, ParaguayZenodo by Carolina Elizabeth Villegas-Colmán, Julio César Mello-Román, José Luis Vázquez Noguera, Horacio Legal-Ayala, Pastor Pérez Estigarribia, Benicio Grossling-Vallejos, Ronald Rivas, María Gloria Pedrozo, Cynthia Duarte, Graciela Giménez, Andrés Uldera, Marina Arnal, Nicole Barreto, Teresa Rojas

“…This dataset will be helpful for researchers working on bone scan image analysis using artificial intelligence techniques to classify bone metastases.…”
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Optical Coherence Tomography Angiography to Distinguish Changes of Choroidal Neovascularization after Anti-VEGF Therapy: Monthly Loading Dose versus Pro Re Nata Regimen by Alexandra Miere, Hassiba Oubraham, Francesca Amoroso, Pauline Butori, Polina Astroz, Oudy Semoun, Elsa Bruyere, Alexandre Pedinielli, Manar Addou-Regnard, Camille Jung, Salomon Y. Cohen, Eric H. Souied

“…CNV size was measured using a free image analysis software (ImageJ, open-source imaging processing software, 2.0.0). …”
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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

“…A large deep learning model was trained on this compilation and preliminary results suggest it has utility for automating large and small-scale image analysis tasks. The compilation and model are made openly available for reuse.…”
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A ‘torn bag mechanism’ of small extracellular vesicle release via limiting membrane rupture of en bloc released amphisomes (amphiectosomes) by Tamás Visnovitz, Dorina Lenzinger, Anna Koncz, Péter M Vizi, Tünde Bárkai, Krisztina V Vukman, Alicia Galinsoga, Krisztina Németh, Kelsey Fletcher, Zsolt I Komlósi, Csaba Cserép, Ádám Dénes, Péter Lőrincz, Gábor Valcz, Edit I Buzas

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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Abstract This research proposes using a Convolutional Neural Network (CNN) with VGGNet-19 and ResNet-50 architectures for COVID-19 diagnosis through chest X-ray image analysis. Modifications were made by comparing the dropout regularization values of 50% and 80% for both architectures and altering the number of classification layers to 4 classes. …”
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3D echocardiography derived reference values and determinants of left ventricular twist and torsion from the population-based STAAB cohort study by Julia Napp, Götz Gelbrich, Floran Sahiti, Vladimir Cejka, Dora Pelin, Lena Schmidbauer, Mengmeng Chen, Niklas Hitschrich, Marcus Schreckenberg, Stefan Frantz, Peter U. Heuschmann, Stefan Störk, Caroline Morbach

“…Using three-dimensional (3D) echocardiography, we identified determinants of LV “twist” and “torsion”, and established reference values using a large population-based cohort. 3D echocardiography images were recorded in n = 2803 subjects within the prospective STAAB cohort study investigating a representative age- and sex-stratified sample of residents of the city of Würzburg, aged 30–79 years, without history of heart failure. Valid 3D image analysis was performed in n = 1831 (65.3%) subjects (mean age 57 ± 11 years, 49.3% women). …”
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ASPEK RUANG SEBAGAI LANDASAN PEMILIHAN RUANG DI TEPI LAUT SENGGOL by Muhammad Uliah Shafar, Wijayanti

“…While, this research design is cross-sectional using cross tabulation and biplot image analysis. Through questionnaire survey, respondents which consist of 85 people were asked to choose one of the spaces which they liked, including their reason to like it according to space aspects. …”
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Mast Cells Positive to Tryptase and c-Kit Receptor Expressing Cells Correlates with Angiogenesis in Gastric Cancer Patients Surgically Treated by Michele Ammendola, Rosario Sacco, Giuseppe Sammarco, Giuseppe Donato, Valeria Zuccalà, Roberto Romano, Maria Luposella, Rosa Patruno, Carlo Vallicelli, Giorgio Maria Verdecchia, Davide Cavaliere, Severino Montemurro, Girolamo Ranieri

“…In a series of 25 gastric cancer patients with stage T3N2-3M0 (by AJCC for Gastric Cancer 7th Edition), immunohistochemistry and image analysis methods were employed to evaluate in the tumour tissue the correlation between the number of mast cells positive to tryptase (MCPT), c-KitR expressing cells (c-KitR-EC), and microvascular density (MVD). …”
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Depression and Temporal Lobe Epilepsy: Expression Pattern of Calbindin Immunoreactivity in Hippocampal Dentate Gyrus of Patients Who Underwent Epilepsy Surgery with and without Com... by Luciana D’Alessio, Hector Konopka, Patricia Solís, Laura Scévola, Mónica Fernandez Lima, Claudio Nuñez, Eduardo Seoane, Silvia Oddo, Silvia Kochen

“…The semiquantitative analysis of CB immunoreactivity was determined in dentate gyrus by computerized image analysis (ImageJ). Results. Hippocampal sections of patients with TLE and HS (n=24) and postmortem controls (n=5) were included. …”
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Deep imaging of LepR+ stromal cells in optically cleared murine bone hemisections by Yuehan Ni, Jiamiao Wu, Fengqi Liu, Yating Yi, Xiangjiao Meng, Xiang Gao, Luyi Xiao, Weiwei Zhou, Zexi Chen, Peng Chu, Dan Xing, Ye Yuan, Donghui Ding, Ge Shen, Min Yang, Ronjie Wu, Ling Wang, Luiza Martins Nascentes Melo, Sien Lin, Xiaoguang Cheng, Gang Li, Alpaslan Tasdogan, Jessalyn M. Ubellacker, Hu Zhao, Shentong Fang, Bo Shen

“…Confocal microscopy of these transparent samples allows for qualitative and quantitative image analysis using Aivia or Bitplane Imaris software, assessing a spectrum of parameters. …”
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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

“…Thus, fields with a broad range of spectrum range from mathematics, physics, biology, fluid mechanics, medicine, engineering, image analysis, based on differing perspectives in our special issue which presents a compilation of recent research elaborating on the related advances in foundations, theory, methodology and topic-based implementations regarding fractals, fractal methodology, fractal spline, non-differentiable fractal functions, fractional calculus, fractional mathematics, fractional differential equations, differential equations (PDEs, ODEs), chaos, bifurcation, Lie symmetry, stability, sensitivity, deep learning approaches, machine learning, and so forth through advanced fractional mathematics, fractional calculus, data intensive schemes, algorithms and machine learning applications surrounding complex chaotic systems.…”
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3D Coaxial Printing of Small‐Diameter Artificial Arteries by Yuxiang Zhu, Siying Liu, Xuan Mei, Zeng Lin, Tiffany V. Pulido, Jixin Hou, Srikar Anudeep Remani, Dhanush Patil, Martin Taylor Sobczak, Arunachalam Ramanathan, Sri Vaishnavi Thummalapalli, Lindsay B. Chambers, Churan Yu, Shenghan Guo, Yiping Zhao, Yang Liu, Xianqiao Wang, Jessica N. Lancaster, Yu Shrike Zhang, Xiangfan Chen, Kenan Song

“…The gelation study of natural polymers and the utilization of sacrificial phase enables the smooth extrusion of the multiphase conduit, where computer‐assisted image analysis is employed to quantify manufacturing fidelity. …”
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Standardization of the Agar Plate Method for Bacteriophage Production by Su Jin Jo, Young Min Lee, Kevin Cho, Seon Young Park, Hyemin Kwon, Sib Sankar Giri, Sung Bin Lee, Won Joon Jung, Jae Hong Park, Mae Hyun Hwang, Da Sol Park, Eun Jae Park, Sang Wha Kim, Jin Woo Jun, Sang Guen Kim, Ji Hyung Kim, Se Chang Park

“…Plaque assays were conducted with the double-layer agar method, and plaque sizes were precisely measured using image analysis tools. Regression models developed with Minitab software established correlations between plaque size and phage production, optimizing production while minimizing resistance development. …”
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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

“…Summary: Current deep-learning-based image-analysis solutions exhibit limitations in holistically capturing spatiotemporal cellular changes, particularly during aging. …”
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Identification and Spatial Mapping of Locality of Streetscapes in Shanghai Hengfu Historic and Cultural Preservation Area by Yuhan SHAO, Sinan YIN, Dongbo MA, Yuting YIN

“…These indicators are then compared with streetscape characteristics that can be measured by current image analysis technologies. On this basis, a framework for identification of streetscape locality is constructed. …”
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