Desenvolvimento de ferramenta vocacionada para o dimensionamento de estruturas metálicas de acordo com a NP EN 1993-1-1

Dissertação de mestrado integrado em Engenharia Civil

Segurança no acesso ao registo clínico eletrónico

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

Arquitetura distribuída para análises multimodais de conectividade cerebral

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

Final report - EngageBook: touch, read and play

This  report  intends  to  give  a  detailed  notion  about  the  entire  project  development  from  its  publications to communications; from the workshops to the software and BridgingBook patent. To make it clear we followed the Tasks timeline as presented in our proposal, adjusting dates, when they were changed. Because we followed a double take in prototyping/software development, we will also repeat some of the tasks in order to give information about each different phase and its dimensions, in an autonomous way.

FISHji: new ImageJ macros for the quantification of fluorescence in epifluorescence images

Fluorescence in situ hybridization (FISH) is based on the use of fluorescent staining dyes, however, the signal intensity of the images obtained by microscopy is seldom quantified with accuracy by the researcher. The development of innovative digital image processing programs and tools has been trying to overcome this problem, however, the determination of fluorescent intensity in microscopy images still has issues due to the lack of precision in the results and the complexity of existing software. This work presents FISHji, a set of new ImageJ methods for automated quantification of fluorescence in images obtained by epifluorescence microscopy. To validate the methods, results obtained by FISHji were compared with results obtained by flow cytometry. The mean correlation between FISHji and flow cytometry was high and significant, showing that the imaging methods are able to accurately assess the signal intensity of fluorescence images. FISHji are available for non-commercial use at http://paginas.fe.up.pt/nazevedo/.

An R package for the integrated analysis of metabolomics and spectral data

Recently, there has been a growing interest in the field of metabolomics, materialized by a remarkable growth in experimental techniques, available data and related biological applications. Indeed, techniques as Nuclear Magnetic Resonance, Gas or Liquid Chromatography, Mass Spectrometry, Infrared and UV-visible spectroscopies have provided extensive datasets that can help in tasks as biological and biomedical discovery, biotechnology and drug development. However, as it happens with other omics data, the analysis of metabolomics datasets provides multiple challenges, both in terms of methodologies and in the development of appropriate computational tools. Indeed, from the available software tools, none addresses the multiplicity of existing techniques and data analysis tasks. In this work, we make available a novel R package, named specmine, which provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, and feature selection. Importantly, the implemented methods provide adequate support for the analysis of data from diverse experimental techniques, integrating a large set of functions from several R packages in a powerful, yet simple to use environment. The package, already available in CRAN, is accompanied by a web site where users can deposit datasets, scripts and analysis reports to be shared with the community, promoting the efficient sharing of metabolomics data analysis pipelines.

Desenvolvimento do pensamento computacional com recurso ao Scratch: uma experiência com alunos do 8ºano

Relatório de estágio de mestrado em Ensino de Informática