| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560326 |
| ISSN: | 1405-5546 |
| Autors: | Arriaga Varela, Enrique Javier1 Moya Sánchez, Eduardo Ulises2 Aguilar Meléndez, Armando3 Castillo Reyes, Octavio1 Vazquez Santacruz, Eduardo6 Salazar Colores, Sebastian4 Cortes, Ulises5 |
| Institucions: | 1Barcelona Supercomputing Center, Barcelona. España 2Universidad Autónoma de Guadalajara, Guadalajara, Jalisco. México 3Universidad Veracruzana, Poza Rica. México 4Universidad Autónoma de Querétaro, Querétaro. México 5Universitat Politécnica de Catalunya, Barcelona. España 6Universidad Autónoma del Carmen, Ciudad del Carmen, Campeche. México |
| Any: | 2019 |
| Període: | Abr-Jun |
| Volum: | 23 |
| Número: | 2 |
| Paginació: | 391-397 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | Many neurobiologists use the fruit fly (Drosophila) as a model to study neuron interaction and neuron organization and then extrapolate this knowledge to the nature of human neurological disorders. Recently, the fluorescence microscopy images of fruit-fly neurons are commonly used, because of the high contrast. However, the detection of the neurons or cells is compromised by background signals, generating fuzzy boundaries. As a result, it is still common that in many laboratories, the detection, counting, and analysis of this microscope imagery is still a manual task. An automated detection, counting, and morphological analysis of these images can provide faster data processing and easier access to new information. The main objective of this work is to present a semi-automatic detection-counting system and give the main characteristics of images of the visual ganglia columns in Drosophila. We present the semi-automatic detection, count, segmentation and we concluded that it is possible to obtain an accuracy of 75% (with a Kappa statistic of 0.50) in the shape classification. Additionally, we develop python GUI CC Analyzer which can be used by neurobiology laboratories whose research interests are focused on this topic. |
| Disciplines | Ciencias de la computación |
| Paraules clau: | Procesamiento de datos |
| Keyword: | Image processing, Computer vision, Machine learning, Fruit fly (Drosophila), Visual ganglia columns, Data processing |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
