Published February 1, 2016
| Version v1
Publication
Studying the Chlorophyll Fluorescence in Cyanobacteria with Membrane Computing Techniques
Contributors
Others:
- Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial
- Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)
- Universidad de Sevilla. TIC193: Computación Natural
- Universidad de Sevilla. FQM296: Topología Computacional y Matemática Aplicada
- Junta de Andalucía
- Ministerio de Economía y Competitividad (MINECO). España
Description
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
Abstract
Junta de Andalucía P08-TIC-04200Abstract
Ministerio de Economía y Competitividad TIN2012-37434Additional details
Identifiers
- URL
- https://idus.us.es/handle/11441/33687
- URN
- urn:oai:idus.us.es:11441/33687
Origin repository
- Origin repository
- USE