Examinando por Materia "tissue"

Mostrando 1 - 3 de 3
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    Ítem
    DIRECT in vitro REGENERATION OF CASTOR BEAN PLANTS (Ricinus communis) USING EPICOTYLS
    (Univ Feder Uberlandia, 2019-03-15) D.F. Villanueva-Mejía; Álvarez, J.C.; Gil, Alejandro; Restrepo, Martha Catalina; Universidad EAFIT. Departamento de Ciencias; Biodiversidad, Evolución y Conservación
    regeneration protocol for castor bean plant (Ricinus communis) was successfully developed using epicotyl sections obtained from in vitro seedlings.
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    Ítem
    Lab-made accessible full-field optical coherence tomography imaging system
    (Sociedad Espanola de Optica, 2019-09-01) Cuartas-Velez, Carlos; Ruiz-Lopera, Sebastian; Uribe-Patarroyo, Nestor; Restrepo, Rene; Universidad EAFIT. Departamento de Ciencias Básicas; Óptica Aplicada
    In this work, an easy to understand optical system was developed for the study of the medical imaging technique optical coherence tomography (OCT). This technique allows volumetric reconstruction of inhomogeneous, non-transparent and scattering samples such as biological tissues. The implementation was based on using non-specialized components for OCT under the scheme of a Michelson interferometer with a CCD camera to capture the interference patterns in a configuration known as full field OCT (FFOCT). Our system, explained in detail, was designed using components commonly found in most optical labs because our focus is to provide an accessible experimental setup for understanding the basics of OCT. The developed system possesses an axial resolution of 1.74 mu m and a lateral resolution of 4.5 mu m. With the described system, tomograms of two samples were obtained: a metal coin and an ex-vivo insect wing of the blattodea family.
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    Ítem
    Simulating soft tissues using a GPU approach of the mass-spring model
    (2010-01-01) Leon, C.A.D.; Eliuk, S.; Gomez, H.T.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    The recent advances in the fields such as modeling bio-mechanics of living tissues, haptic technologies, computational capacity, and graphics realism have created conditions necessary in order to develop effective surgical training using virtual environments. However, virtual simulators need to meet two requirements, they need to be real-time and highly realistic. The most expensive computational task in a surgical simulator is that of the physical model. The physical model is the component responsible to simulate the deformation of the anatomical structures and the most important factor in order to obtain realism. In this paper we present a novel approach to virtual surgery. The novelty comes in two forms: specifically a highly realistic mass-spring model, and a GPU based technique, and analysis, that provides a nearly 80x speedup over serial execution and 20x speedup over CPU based parallel execution. ©2010 IEEE.