Browsing by Subject "Image analysis"

Now showing 1 - 3 of 3
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    Correlation of securin and Ki67 in invasive breast carcinoma
    (Universidad de Murcia. Departamento de Biología Celular e Histología, 2019) Mamdouh Talaat, Iman; Akram Hamoudi, Rifat; Mahmoud Yakout, Nada; Youssef Oweiss, Nagwa; Mohammed Omar, Abbas
    Aims. To identify the role of securin (PTTG) as a prognostic marker in invasive breast carcinoma and its possible relation to ki67 and to evaluate the use of ImmunoRatio® as a tool for calculating ki67 and securin labelling indices. Methods. Securin and ki67 immunohistochemical staining were performed on tissue microarray sections representative of 118 patients diagnosed with invasive breast carcinoma from 2005 to 2011. Assessment of immunohistochemical staining was carried out using both visual counting and ImmunoRatio®. The 118 cases were categorized into 2 groups according to their clinical outcome; the first group (G1) (n=77) comprised patients who were diseasefree while the second group (G2) (n=41) included patients who developed either recurrence and/or metastasis at the end of 24 months follow-up duration. Results. Both securin and ki67 labelling indices (LIs) obtained by visual counting were significantly higher in G2, while only securin LIs acquired by ImmunoRatio® were significantly higher in G2. Securin assessment by visual counting was the most accurate (AUC=0.775) in identifying patients who will likely suffer from recurrence and/or distant metastasis. Pearson correlation showed r=0.638, p<0.001 for Ki67 and r=0.671, p<0.001 for securin. Linear regression analysis showed a significant correlation between ki67 and securin, B=1.75, p<0.001. Conclusion. The present results suggest that securin may add to the prognostic value of ki67 in highlighting intra-tumoural heterogeneity in invasive breast carcinoma patients with poor clinical outcome. In addition, the study showed that since securin has a visual counting cutoff with more than 1%, making it easier to use as a breast cancer biomarker in conjunction with ki67 to predict the outcome of the cases more accurately than using only ki67. However, a multivariate analysis on a larger cohort of patients is mandatory to test its potential prognostic value.
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    Open Access
    La fotografía desde el objetivo de Alix, Rodero y la IA: aprender a través de tres lentes
    (Área de Didáctica de la Expresión Plástica de la Universidad del País Vasco, 2025-11-30) López Ruiz, David; Barba Ros, Irene; Expresión Plástica, Musical y Dinámica; Facultades de la UMU::Facultad de Educación
    Este estudio explora el uso de inteligencia artificial (IA) como herramienta pedagógica para analizar la obra de los fotógrafos españoles Alberto García-Alix y Cristina García Rodero en Bachillerato. Mediante un enfoque cualitativo con entrevistas semiestructuradas a 134 estudiantes de cuatro cen-tros educativos, se utilizó la Investigación Basada en las Artes (IBA) para complementar visualmente las entrevistas. El objetivo principal fue desarrollar la capacidad de análisis crítico y sensibilidad artística, identificando características estilísticas de la fotografía española de los años 70 y 80. Se buscó fomentar la interpretación contextualizada, comprender diversos estilos fotográficos y esti-mular la reflexión sobre su evolución. Los resultados evidenciaron mejoras significativas en el aná-lisis crítico de los estudiantes. Estos demostraron habilidad para distinguir estilos, interpretar obras en su contexto histórico-social y reflexionar sobre la práctica fotográfica. El uso de la IA generativa facilitó una experiencia de aprendizaje más inmersiva y atractiva, potenciando la comprensión y el pensamiento crítico. --------------
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    Retinal ganglion cell population in adult albino and pigmented mice: a computerized analysis of the entire population and its spatial distribution
    (Elsevier, ) Jiménez López, SM; Valiente Soriano, F. J.; Avilés Trigueros, Marcelino; Mayor, S.; Holmes, T.; Lund, R. D.; Villegas Pérez, María Paz; Vidal Sanz, Manuel; Salinas Navarro, Manuel Ángel; Alarcón Martínez, Luis; Oftalmología, Optometría, Otorrinolaringología y Anatomía Patológica
    In adult Swiss albino and C57 pigmented mice, RGCs were identified with a retrogradely transported neuronal tracer applied to both optic nerves (ON) or superior colliculi (SCi). After histological processing, the retinas were prepared as whole-mounts, examined and photographed under a fluorescence microscope equipped with a motorized stage controlled by a commercial computer image analysis system: Image-Pro Plus® (IPP). Retinas were imaged as a stack of 24-bit color images (140 frames per retina) using IPP with the Scope-Pro plug-in 5.0 and the images montaged to create a high-resolution composite of the retinal whole-mount when required. Single images were also processed by specific macros written in IPP that apply a sequence of filters and transformations in order to separate individual cells for automatic counting. Cell counts were later transferred to a spreadsheet for statistical analysis and used to generate a RGC density map for each retina. Results: The mean total numbers of RGCs labeled from the ON, in Swiss (49,493 ± 3936; n = 18) or C57 mice (42,658 ± 1540; n = 10) were slightly higher than the mean numbers of RGCs labeled from the SCi, in Swiss (48,733 ± 3954; n = 43) or C57 mice (41,192 ± 2821; n = 42), respectively. RGCs were distributed throughout the retina and density maps revealed a horizontal region in the superior retina near the optic disk with highest RGC densities. In conclusion, the population of mice RGCs may be counted automatically with a level of confidence comparable to manual counts. The distribution of RGCs adopts a form of regional specialization that resembles a horizontal visual streak.