Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster
|Author/s||Capitán Agudo, Carlos
Pontes Balanza, Beatriz
Gómez Gálvez, Pedro
Vicente Munuera, Pablo
|Department||Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos
Universidad de Sevilla. Departamento de Biología Celular
|Abstract||Analysing biological images coming from the microscope is challenging; not only is it
complex to acquire the images, but also the three-dimensional shapes found on them. Thus, using
automatic approaches that could learn ...
Analysing biological images coming from the microscope is challenging; not only is it complex to acquire the images, but also the three-dimensional shapes found on them. Thus, using automatic approaches that could learn and embrace that variance would be highly interesting for the field. Here, we use an evolutionary algorithm to obtain the 3D cell shape of curve epithelial tissues. Our approach is based on the application of a 3D segmentation algorithm called LimeSeg, which is a segmentation software that uses a particle-based active contour method. This program needs the fine tuning of some hyperparameters that could present a long number of combinations, with the selection of the best parametrisation being highly time-consuming. Our evolutionary algorithm automatically selects the best possible parametrisation with which it can perform an accurate and non-supervised segmentation of 3D curved epithelial tissues. This way, we combine the segmentation potential of LimeSeg and optimise the parameters selection by adding automatisation. This methodology has been applied to three datasets of confocal images from Drosophila melanogaster, where a good convergence has been observed in the evaluation of the solutions. Our experimental results confirm the proper performing of the algorithm, whose segmented images have been compared to those manually obtained for the same tissues.
|Funding agencies||Ministerio de Ciencia e Innovación (MICIN). España
Junta de Andalucía
Ministerio de Economia, Industria y Competitividad (MINECO). España
Ministerio de Ciencia e Innovación (MICIN). España
|Citation||Capitán Agudo, C., Pontes Balanza, B., Gómez Gálvez, P. y Vicente Munuera, P. (2021). Evolutionary 3D Image Segmentation of Curve Epithelial Tissues of Drosophila melanogaster. Applied Sciences, 11 (14 (art. nº 6410))|