Cell morphology is critical for all cell functions. This is particularly true for glial cells as they rely on complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this, we developed the image analysis pipeline “GliaMorph”. GliaMorph is a modular analysis toolkit developed to perform (i) image pre-processing, (ii) semi-automatic region-of-interest (ROI) selection, (iii) apicobasal texture analysis, (iv) glia segmentation, and (v) cell feature quantification. Müller Glia (MG) have a stereotypic shape linked to their maturation and physiological status. We here characterized MG on three levels, including (a) global image-level, (b) apicobasal texture, and (c) regional apicobasal vertical-to-horizontal alignment. Using GliaMorph we quantified MG development on a global and single-cell level, showing increased feature elaboration and subcellular morphological rearrangement in the zebrafish retina. As proof-of-principle, we analysed expression changes in a mouse glaucoma model, identifying subcellular protein localization changes in MG. Together, GliaMorph enables an in-depth understanding of MG morphology in the developing and diseased retina.
Cell morphology is critical for all cell functions. This is particularly true for glial cells as they rely on their complex shape to contact and support neurons. However, methods to quantify complex glial cell shape accurately and reproducibly are lacking. To address this gap in quantification approaches, we developed an analysis pipeline called "GliaMorph". GliaMorph is a modular image analysis toolkit developed to perform (i) image pre-processing, (ii) semi-automatic region-of-interest (ROI) selection, (iii) apicobasal texture analysis, (iv) glia segmentation, and (v) cell feature quantification. Mueller Glia (MG) are the principal retinal glial cell type with a stereotypic shape linked to their maturation and physiological status. We here characterized MG on three levels, including (a) global image-level, (b) apicobasal texture, and (c) apicobasal vertical-to-horizontal alignment. Using GliaMorph, we show structural changes occurring in the developing retina. Additionally, we study the loss of cadherin2 in the zebrafish retina, as well as a glaucoma mouse disease model. The GliaMorph toolkit enables an in-depth understanding of MG morphology in the developing and diseased retina.
Este artículo busca presentar un nuevo enfoque para la puesta en valor del patrimonio memorial de Chile. El artículo propone que los valores, en cuanto constructos sociales, son subjetivos y cambiantes y que, en el caso de los sitios de memoria, son altamente contestados. A partir de un caso de estudio específico, el Parque por la Paz Villa Grimaldi, se analizó cómo diferentes comunidades valoraban el sitio. Para ello, se emplearon múltiples métodos para la colección de datos: una revisión bibliográfica exhaustiva, el estudio de documentos oficiales del sitio y del Consejo de Monumentos Nacionales, también de reseñas online dejadas por los visitantes. Estas fueron examinadas a través de un análisis temático cualitativo, usando como punto de partida los valores propuestos por Worthing y Bond (2008). A partir de este primer análisis, se definió que los valores son interdependientes unos de otros y que la significancia del sitio opera como sistema complejo y multidimensional. Utilizando un enfoque de sistema dinámico, se mapearon los valores, ilustrando las relaciones entre valores y comunidades. El artículo concluye que, para asegurar la sustentabilidad de los sitios de memoria a futuro, es necesaria la inclusión de las perspectivas de los diferentes actores sociales en la puesta en valor de estos. Asimismo, el artículo ofrece recomendaciones para gestionar potenciales tensiones y desarrollar una estrategia de puesta en valor integrada y holística.
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