Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach by Kourosh Hayatigolkhatmi, Chiara Soriani, Emanuel Soda, Elena Ceccacci, Oualid El Menna, Sebastiano Peri, Ivan Negrelli, Giacomo Bertolini, Gian Martino Franchi, Roberta Carbone, Saverio Minucci, Simona Rodighiero

“…In this study, we addressed this gap by combining a specialized surface to enhance cell attachment, the FUCCI(CA)2 sensor, an automated image analysis pipeline, and a custom machine learning algorithm. …”
Get full text

Mixing Data Cube Architecture and Geo-Object-Oriented Time Series Segmentation for Mapping Heterogeneous Landscapes by Michel E. D. Chaves, Lívia G. D. Soares, Gustavo H. V. Barros, Ana Letícia F. Pessoa, Ronaldo O. Elias, Ana Claudia Golzio, Katyanne V. Conceição, Flávio J. O. Morais

“…The objective of this study is to mix the data cube architecture (analysis-ready data—ARD) and the geo-object-oriented time series segmentation via Geographic Object-Based Image Analysis (GEOBIA) to assess its performance in identifying natural vegetation and double-cropping practices over a crop season. …”
Get full text

In Vivo Magic Angle Magnetic Resonance Imaging for Cell Tracking in Equine Low-Field MRI by Carolin Horstmeier, Annette B. Ahrberg, Dagmar Berner, Janina Burk, Claudia Gittel, Aline Hillmann, Julia Offhaus, Walter Brehm

“…MRI included standard and magic angle image series in T1- and T2∗-weighted sequences performed at regular intervals. Image analysis comprised blinded evaluation and quantitative assessment of signal-to-noise ratio. …”
Get full text

TransDeep: Transformer-Integrated DeepLabV3+ for Image Semantic Segmentation by Tengfei Chai, Zhiguo Xiao, Xiangfeng Shen, Qian Liu, NianFeng Li, Tong Guan, Jia Tian

“…In recent years, image semantic segmentation algorithms have made significant progress driven by deep learning technology, and are widely used in fields such as medical image analysis, assistive technology for the visually impaired people, and autonomous driving. …”
Get full text

Comparative evaluation of localized genotoxicity between the field of focus and scatter following exposure to cone beam computed tomography using buccal mucosal micronuclei assay:... by Rajeswari Sreeenivas, Algi Nadil, Priya Thomas, Giju George Baby, Deepu George Mathew, Pooja Latti, Jiss George

“…Nuclear anomalies were then graded using image analysis software, and 500 intact exfoliated epithelial cells were checked for micronuclei and other nuclear anomalies according to 1992 criteria set by Tolbert et al. …”
Get full text

Enhancing early lung cancer detection with MobileNet: A comprehensive transfer learning approach by Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, Julio Alberto García-Rodríguez, Sofia Uribe-Toscano

“…Early detection is critical for improving patient outcomes but remains a significant challenge due to the intricate nature of histopathological image analysis, which requires specialized expertise. …”
Get full text

Remodeling of the brain angioarchitecture in experimental chronic neurodegeneration by Maj Schneider Thomsen, Serhii Kostrikov, Lisa Greve Routhe, Kasper Bendix Johnsen, Steinunn Sara Helgudóttir, Johann Mar Gudbergsson, Thomas Lars Andresen, Torben Moos

“…Brains were examined at 28 days (short-term neurodegeneration) and 91 days (long-term neurodegeneration) and analyzed for vascular remodeling taking both 2D and 3D approaches, the latter involving confocal microscopy of optically cleared samples combined with machine learning-based image analysis. Crysectioned and microdissected samples were analyzed for protein and gene expression respectively. …”
Get full text

Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

“…Results: CNN and KNN structures, with their ability to extract highlights in image-based information, prove effective in tumor classification and segmentation, surmounting challenges in image analysis. Competitive analysis reveals that CNN and outperform others algorithms on publicly available datasets, suggesting their potential for precise tumor diagnosis and treatment planning. …”
Get full text

Feldspar Dissolution and Its Influence on Reservoirs: A Case Study of the Lower Triassic Baikouquan Formation in the Northwest Margin of the Junggar Basin, China by Meng Xiao, Xuanjun Yuan, Dawei Cheng, Songtao Wu, Zhenglin Cao, Yong Tang, Zongrui Xie

“…Based on the analyses of core and thin section observations, QEMSEM, XRD, SEM, CL, fluorescence, and image analysis software combined with logging and physical property data, this study shows that feldspar dissolution in the subaqueous distributary channel of a fan delta plain, which has good original physical properties and low mud contents, significantly improves the properties of the reservoir. …”
Get full text

Banksia Ashbyi-engineered facile green synthesis of magnetite nanoparticles: Characterization, and determination of micro-strain, stress, and physical parameters by X-ray-based Wil... by Gérrard Eddy Jai Poinern, A F M Fahad Halim, Derek Fawcett, Peter Chapman, Rupam Sharma

“…Both FIBSEM and TEM image analysis confirmed the nanoparticles were spherical in shape and had a mean diameter of 18 nm with a particle distribution that ranged between 13 and 23 nm. …”
Get full text

Application of three-dimensional printing in the planning and execution of aortic aneurysm repair by Harshank Patel, Paul Choi, Jennifer C. Ku, Rosemary Vergara, Rafael Malgor, Dhiren Patel, Yong Li

“…These methods address fallacies in centerline image analysis and manual image pre-processing. This review examines the application of 3D printing and AI in complex aortic aneurysm repair, highlighting current clinical trends.MethodsAn exhaustive literature review was performed using keywords such as “3D printing,” “Artificial intelligence,” “Thoracoabdominal aneurysm,” “Abdominal aortic aneurysm,” “Aortic arch aneurysm,” “Endovascular repair,” and “Open repair” in PubMed and Google Scholar indexes up to June 2022.ResultsThis analysis included seven studies: four focused on 3D-printed phantoms for endovascular repair of various aortic pathologies (aortic arch, thoracoabdominal aorta, juxtarenal and pararenal aorta), one on open thoracoabdominal aneurysm repair using 3D-printed models for graft construction, and two on the use of convolutional neural networks, an AI-based technology, for the pre-processing of aortic computed tomography angiography images.ConclusionThe application of 3D printing and AI-based image pre-processing in the planning of complex aortic aneurysms offers several benefits, including enhanced patient and trainee education, more accurate fenestration placement, reduced surgical time and complications, and decreased surgeon stress.…”
Get full text

Soluble fibres modulate dough rheology and gluten structure via hydrogen bond density and Flory-Huggins water interaction parameter by Stefano Renzetti, Lisa Lambertini, Helene C.M. Mocking-Bode, Ruud G.M. van der Sman

“…Tonset and Tpeak of starch gelatinization (R2 > 0.9). Image analysis of the gluten network revealed that fibre structure and physico-chemical properties influenced the gluten network by altering branching rate, lacunarity, and protein strand width. …”
Get full text

The effect of acorn scarification on the growth and root system size of Quercus robur L. seedlings grown in nursery containers by Mariusz Kormanek, Paweł Tylek, Jacek Banach, Zdzisław Kaliniewicz

“…However, there is limited information available on improving the structure of the root system, primarily due to the limited availability of image analysis systems for these plant parts. This study employed modern measurement methods using WinRhizo and WinFolia software (Regent Instruments Inc.; Version Pro, 2022) to comparatively analyse root system parameters, focusing mainly on their structure. …”
Get full text

Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…In the last 10 years there has been a revolu on in the fi eld of computer image analysis and pa ern recogni on. Modern algorithms of computer vision equaled and even in some problems surpassed human capabili es. …”
Get full text

Evaluation of the Zirconium Hydride Morphology at the Flaws in the CANDU Pressure Tube Using a Novel Metric by Alexandra Ion Jinga, Mărioara Abrudeanu, Vasile Radu, Alexandru Niţu, Livia Stoica, Denisa Toma, Mircea Ionuţ Petrescu

“…To characterize the zirconium hydride morphology in the reorientation zone at the volumetric flaw tip, image analysis and processing techniques were applied. …”
Get full text

Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis by Rosanna Cavazzana, Angelo Faccia, Aurora Cavallaro, Marco Giuranno, Sara Becchi, Chiara Innocente, Giorgia Marullo, Elia Ricci, Jacopo Secco, Enrico Vezzetti, Luca Ulrich

“…Additionally, a three-dimensional image analysis is employed to extract key clinical parameters for patient assessment. …”
Get full text

From Voxels to Viruses: Using Deep Learning and Crowdsourcing to Understand a Virus Factory by Avery Pennington, Oliver N. F. King, Win Min Tun, Mark Boyce, Geoff Sutton, David I. Stuart, Mark Basham, Michele C. Darrow

“…As such, there is a strong need to develop approaches for instance segmentation that minimize the use of expert annotation while maintaining quality on challenging image analysis problems. Herein, we present our work on a citizen science project we ran called Science Scribbler: Virus Factory on the Zooniverse platform, in which citizen scientists annotated a cryo-electron tomography volume by locating and categorising viruses using point-based annotations instead of manually drawing outlines. …”
Get full text

Advanced colon cancer detection: Integrating context-aware multi-image fusion (Camif) in a multi-stage framework by M.V.R. Vittal

“…., demonstrating its effectiveness and potential for clinical applications in medical image analysis. The results indicate the proposed method’s high efficacy, achieving an F1 score of 99.31. …”
Get full text

Design of a mammography X-ray image classification assistant system adapted to Chinese population by SUN Changjin, TONG Fei, WU Yi

“…Methods‍　‍Curated breast imaging subset of digital database for screening mammography （CBIS-DDSM）， Mammographic image analysis society database （MIAS） and other international open datasets were used to conduct model training respectively in order to reproduce the mainstream in-depth learning methods in the current literature. …”
Get full text

New Platform Technology for Comprehensive Serological Diagnostics of Autoimmune Diseases by Annika Willitzki, Rico Hiemann, Vanessa Peters, Ulrich Sack, Peter Schierack, Stefan Rödiger, Ursula Anderer, Karsten Conrad, Dimitrios P. Bogdanos, Dirk Reinhold, Dirk Roggenbuck

“…To address the limitations of IIF and to meet the demand for cost-efficient autoantibody screening, automated IIF methods employing novel pattern recognition algorithms for image analysis have been introduced recently. In this respect, the AKLIDES technology has been the first commercially available platform for automated interpretation of cell-based IIF testing and provides multiplexing by addressable microbead immunoassays for confirmatory testing. …”
Get full text