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1.
Sci Rep ; 5: 7794, 2015 Jan 15.
Artículo en Inglés | MEDLINE | ID: mdl-25589024

RESUMEN

Recent advances in the acquisition of large-scale datasets of transmission electron microscope images have allowed researchers to determine the number and the distribution of subcellular ultrastructures at both the cellular level and the tissue level. For this purpose, it would be very useful to have a computer-assisted system to detect the structures of interest, such as organelles. Using our original image recognition framework CARTA (Clustering-Aided Rapid Training Agent), combined with procedures to highlight and enlarge regions of interest on the image, we have developed a successful method for the semi-automatic detection of plant organelles including mitochondria, amyloplasts, chloroplasts, etioplasts, and Golgi stacks in transmission electron microscope images. Our proposed semi-automatic detection system will be helpful for labelling organelles in the interpretation and/or quantitative analysis of large-scale electron microscope imaging data.


Asunto(s)
Automatización , Procesamiento de Imagen Asistido por Computador , Microscopía Electrónica de Transmisión , Orgánulos/ultraestructura , Arabidopsis/citología , Arabidopsis/embriología , Arabidopsis/ultraestructura , Células Cultivadas , Cotiledón/ultraestructura , Aparato de Golgi/ultraestructura , Mitocondrias/ultraestructura , Plastidios/ultraestructura , Nicotiana/citología
2.
Plant Cell Physiol ; 55(9): 1544-55, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24929423

RESUMEN

Rapid growth of plant cells by cell division and expansion requires an endomembrane trafficking system. The endomembrane compartments, such as the Golgi stacks, endosome and vesicles, are important in the synthesis and trafficking of cell wall materials during cell elongation. However, changes in the morphology, distribution and number of these compartments during the different stages of cell proliferation and differentiation have not yet been clarified. In this study, we examined these changes at the ultrastructural level in tobacco Bright yellow 2 (BY-2) cells during the log and stationary phases of growth. We analyzed images of the BY-2 cells prepared by the high-pressure freezing/freeze substitution technique with the aid of an auto-acquisition transmission electron microscope system. We quantified the distribution of secretory and endosomal compartments in longitudinal sections of whole cells by using wide-range gigapixel-class images obtained by merging thousands of transmission electron micrographs. During the log phase, all Golgi stacks were composed of several thick cisternae. Approximately 20 vesicle clusters (VCs), including the trans-Golgi network and secretory vesicle cluster, were observed throughout the cell. In the stationary-phase cells, Golgi stacks were thin with small cisternae, and only a few VCs were observed. Nearly the same number of multivesicular body and small high-density vesicles were observed in both the stationary and log phases. Results from electron microscopy and live fluorescence imaging indicate that the morphology and distribution of secretory-related compartments dramatically change when cells transition from log to stationary phases of growth.


Asunto(s)
Aparato de Golgi/ultraestructura , Microscopía Electrónica de Transmisión/métodos , Nicotiana/ultraestructura , Compartimento Celular , Pared Celular/metabolismo , Pared Celular/ultraestructura , Células Cultivadas , Genes Reporteros , Aparato de Golgi/metabolismo , Microscopía Fluorescente , Modelos Biológicos , Transporte de Proteínas , Proteínas Recombinantes de Fusión , Nicotiana/crecimiento & desarrollo , Nicotiana/metabolismo , Red trans-Golgi/metabolismo , Red trans-Golgi/ultraestructura
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