Repositorio de producción científica de la Universidad de Sevilla

Studying the Chlorophyll Fluorescence in Cyanobacteria with Membrane Computing Techniques

 

Advanced Search
 
Opened Access Studying the Chlorophyll Fluorescence in Cyanobacteria with Membrane Computing Techniques
Cites
Show item statistics
Icon
Export to
Author: Ardelean, Ioan I.
Díaz Pernil, Daniel
Gutiérrez Naranjo, Miguel Ángel
Peña Cantillana, Francisco
Sarchizian, Iris
Department: Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)
Date: 2013
Published in: Proceedings of the Eleventh Brainstorming Week on Membrane Computing, 9-24. Sevilla, E.T.S. de Ingeniería Informática, 4-8 de Febrero, 2013,
ISBN/ISSN: 978-84-940691-9-2
Document type: Presentation
Abstract: In this paper, we report a pioneer study of the decrease in chlorophyll uorescence produced by the reduction of MTT (a dimethyl thiazolyl diphenyl tetrazolium salt) monitored using an epi uorescence microscope coupled to automate image analysis in the framework of P systems. Such analysis has been performed by a family of tissue P systems working on the images as data inpu
Size: 3.856Mb
Format: PDF

URI: http://hdl.handle.net/11441/33687

This work is under a Creative Commons License: 
Attribution-NonCommercial-NoDerivatives 4.0 Internacional

This item appears in the following Collection(s)