DNA Ploidy and Chromosome (FISH) Pattern Analysis of Peripheral Nerve Sheath Tumors by Anett Hruska, Reinhard Bollmann, Rita Beáta Kovács, Magdolna Bollmann, Miklós Bodó, Zoltán Sápi

“…For further insight we analyzed 6 schwannomas, one atypical neurofibroma and five MPNSTs by fluorescence in situ hybridization (FISH) technique using centromeric chromosome probes (7, 17 and 18) and automatic image analysis station, Metafer 4. Results: Benign schwannomas (including the problematic variants as ancient, cellular, neuroblastoma like and multiplex schwannomas) could be characterized by euploid‐polyploidisation and by their 4c peak height value which was usually more than 10% of total cell number measured. …”
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Effects of Homeopathic Arsenicum Album, Nosode, and Gibberellic Acid Preparations on the Growth Rate of Arsenic-Impaired Duckweed (Lemna gibba L.) by Tim Jäger, Claudia Scherr, Meinhard Simon, Peter Heusser, Stephan Baumgartner

“…Growth rates of frond (leaf) area and frond number were determined with a computerized image analysis system for different time intervals (days 0–2, 2–6, 0–6). …”
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Detection of damage caused by Nezara viridula on soybean using novel imaging approaches based on computed tomography and image color analysis by Szilvia Gibicsár, Tamás Donkó, Dániel Fajtai, Sándor Keszthelyi

“…Our results can contribute to the development of a practically applicable system based on image analysis, which can identify lots damaged by insects.…”
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Impact of lens autofluorescence and opacification on retinal imaging by Frank G Holz, Maximilian Pfau, Monika Fleckenstein, Raffael Liegl, Geena C Rennen, Marc Vaisband, Jan Hasenauer

“…Lens status is crucial since the ageing lens has both light-blocking and autofluorescence (AF) properties that distort image analysis. Here, we report both lens opacification and AF metrics and the effect on automated image quality assessment.Methods 227 subjects (range: 19–89 years old) received quantitative AF of the lens (LQAF), Scheimpflug, anterior chamber optical coherence tomography as well as blue/green FAF (BAF/GAF), and infrared (IR) imaging. …”
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Assessment of the size and shape of berries using the ImageJ program on the example of honeysuckle by D. Yu. Nokhrin, L. V. Ufimtseva, N. V. Glaz

“…The results of the automatic image analysis in the ImageJ package can be used in horticulture, breeding, and production of fruits and berries.…”
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Immunohistochemical Expression of FOXP3+ Regulatory T Cells in Proteinuric Primary Glomerulopathies by Georgios Vlachopanos, Argyrios Georgalis, Pinelopi Korkolopoulou, Efstratios Patsouris, Harikleia Gakiopoulou

“…FOXP3+ Tregs and CD4+ and CD3+ T cells in inflammatory cell infiltrates of the interstitial tissue and periglomerular space were automatically counted using image analysis software. Univariable and multivariable logistic regressions were applied for statistical analysis. …”
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Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

“…Therefore, our goal was to develop a noninvasive US grayscale image analysis for benign and malignant solid breast lesion differentiation. …”
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Dual Functions of Androgen Receptor Overexpression in Triple-Negative Breast Cancer: A Complex Prognostic Marker by Umay Kiraz, Emma Rewcastle, Silja K. Fykse, Ingrid Lundal, Einar G. Gudlaugsson, Ivar Skaland, Håvard Søiland, Jan P. A. Baak, Emiel A. M. Janssen

“…In a population-based TNBC cohort (<i>n</i> = 198) with long follow-up (4–383 months), AR expression was evaluated via subjective scoring (AR-Manual) and automated digital image analysis (AR-DIA). A 10% cut-off value via AR-DIA was the strongest negative prognostic threshold for distant metastases (<i>p</i> = 0.008). …”
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Applications of Deep Learning to MRI Images: A Survey by Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang

“…Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, and is seen as a key method for various future applications. …”
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BerryPortraits: Phenotyping Of Ripening Traits in cranberry (Vaccinium macrocarpon Ait.) with YOLOv8 by Jenyne Loarca, Tyr Wiesner-Hanks, Hector Lopez-Moreno, Andrew F. Maule, Michael Liou, Maria Alejandra Torres-Meraz, Luis Diaz-Garcia, Jennifer Johnson-Cicalese, Jeffrey Neyhart, James Polashock, Gina M. Sideli, Christopher F. Strock, Craig T. Beil, Moira J. Sheehan, Massimo Iorizzo, Amaya Atucha, Juan Zalapa

“…Abstract BerryPortraits (Phenotyping of Ripening Traits) is open source Python-based image-analysis software that rapidly detects and segments berries and extracts morphometric data on fruit quality traits such as berry color, size, shape, and uniformity. …”
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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

“…The volume of each body segment included in the abdominal CT images was measured using AI‐based image analysis software. Results Visceral fat (VF) proportion and VF/subcutaneous fat (SF) ratio increased with age, and both strongly predicted the presence and risk of developing diabetes. …”
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A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example by I. D. Busov, M. A. Genaev, E. G. Komyshev, V. S. Koval, T. E. Zykova, A. Y. Glagoleva, D. A. Afonnikov

“…The flexible and convenient tool created in this work will significantly increase the efficiency of hyperspectral image analysis.…”
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Sustainable and smart multi-analyte HPTLC determination of tolperisone HCl together with three pain killers using smartphone camera as a detector: Comparative study with benchtop d... by Mohamed Rizk, Emad Ramzy, Safaa Toubar, Amr M. Mahmoud, Marwa I. Helmy

“…Using ImageJ, a freely available image analysis program, the drug spot intensities were measured throughout a concentration range of 1.0–7.0 µg/band. …”
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Miniaturization and characterization of patient derived hepatocellular carcinoma tumor organoid cultures for cancer drug discovery applications by David A. Close, Paul A. Johnston

“…Organoids cultured in rgf-MG could be stained in situ with HCI reagents without mechanical, chemical or enzymatic disruption of the hydrogel matrices and quantitative data extracted by image analysis. Hoechst and live/dead reagents provided organoid numbers and viability comparisons. …”
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MR Angiography of Peripheral Arterial Stents: In Vitro Evaluation of 22 Different Stent Types by Matthias C. Burg, Alexander C. Bunck, Harald Seifarth, Boris Buerke, Harald Kugel, Volker Hesselmann, Michael Köhler, Walter Heindel, David Maintz

“…Stents were imaged at 1.5 Tesla using a T1-weighted 3D spoiled gradient-echo sequence. Image analysis was performed measuring three categories: Signal intensity in the stent lumen, lumen visibility of the stented lumen, and homogeneity of the stented lumen. …”
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The Impact of Weighting Factors on Dual-Energy Computed Tomography Image Quality in Non-Contrast Head Examinations: Phantom and Patient Study by Doris Šegota Ritoša, Doris Dodig, Slavica Kovačić, Nina Bartolović, Ivan Brumini, Petra Valković Zujić, Slaven Jurković, Damir Miletić

“…<b>Results</b>: Quantitative phantom image analysis revealed the best gray-to-white matter contrast-to-noise ratio (CNR) at the highest WFs and minimal noise artifacts at the lowest WF values. …”
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Ventricular function assessment using an ultrafast spoiled gradient echo sequence with an intravascular blood pool contrast agent in pediatric patients. by Tayaba Miah, Rithvik Gunda, Gerald Greil, Mohammad Hussain, Qing Zou

“…Image quality assessment via expert subjective image analysis scores is consistent with the data. All Bland-Altman plots show good agreement and reveal no systematic bias or random error.…”
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Microscopic Analysis of Temperature Effects on Surface Colonization and Biofilm Morphology of <i>Salmonella enterica</i> by Zachariah Vice, You Zhou, Sapna Chitlapilly Dass, Rong Wang

“…We developed methods using scanning electron microscopy and confocal microscopy with a novel image analysis software tool to investigate the temperature influence on <i>S. enterica</i> cell colonization and biofilm formation by directly visualizing and comparing the biofilm matrix’s morphological differences under various temperatures. …”
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MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation by Liang Xu, Mingxiao Chen, Yi Cheng, Pengwu Song, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

“…Abstract The UNet architecture, based on convolutional neural networks (CNN), has demonstrated its remarkable performance in medical image analysis. However, it faces challenges in capturing long-range dependencies due to the limited receptive fields and inherent bias of convolutional operations. …”
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A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…Fine-grained recognition plays a pivotal role in the field of remote sensing image analysis, particularly in critical applications such as reconnaissance and early warning, intelligence analysis, and intelligent interpretation. …”
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