Detalhes
Nome
Elsa Ferreira GomesCluster
InformáticaCargo
Investigador AfiliadoDesde
01 novembro 2016
Nacionalidade
PortugalCentro
Laboratório de Inteligência Artificial e Apoio à DecisãoContactos
+351220402963
elsa.f.gomes@inesctec.pt
2022
Autores
Shaji, N; Nunes, F; Rocha, MI; Gomes, EF; Castro, H;
Publicação
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Abstract
Background and objective: Cell migration is essential for many biological phenomena with direct impact on human health and disease. One conventional approach to study cell migration involves the quantitative analysis of individual cell trajectories recorded by time-lapse video microscopy. Dedicated software tools exist to assist the automated or semi-automated tracking of cells and translate these into coordinate positions along time. However, cell biologists usually bump into the difficulty of plotting and computing these data sets into biologically meaningful figures and metrics. Methods: This report describes MigraR, an intuitive graphical user interface executed from the RStudioTM (via the R package Shiny), which greatly simplifies the task of translating coordinate positions of moving cells into measurable parameters of cell migration (velocity, straightness, and direction of movement), as well as of plotting cell trajectories and migration metrics. One innovative function of this interface is that it allows users to refine their data sets by setting limits based on time, velocity and straightness. Results: MigraR was tested on different data to assess its applicability. Intended users of MigraR are cell biologists with no prior knowledge of data analysis, seeking to accelerate the quantification and visualization of cell migration data sets delivered in the format of Excel files by available cell-tracking software. Conclusions: Through the graphics it provides, MigraR is an useful tool for the analysis of migration parameters and cellular trajectories. Since its source code is open, it can be subject of refinement by expert users to best suit the needs of other researchers. It is available at GitHub and can be easily reproduced. © 2021 Elsevier B.V.
2022
Autores
Torres, J; Oliveira, J; Gomes, EF;
Publicação
BIOSIGNALS: PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES - VOL 4: BIOSIGNALS
Abstract
2022
Autores
Tavares, PC; Gomes, EF; Henriques, PR; Vieira, DM;
Publicação
Open Education Studies
Abstract
2021
Autores
Carvalho, S; Gomes, EF;
Publicação
Intelligent Information and Database Systems - 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021, Proceedings
Abstract
2019
Autores
Nogueira, DM; Ferreira, CA; Gomes, EF; Jorge, AM;
Publicação
JOURNAL OF MEDICAL SYSTEMS
Abstract
Teses supervisionadas
2021
Autor
JOSÉ PEDRO ALMEIDA MARQUES DE OLIVEIRA
Instituição
IPP-ISEP
2021
Autor
MIGUEL ÂNGELO MOREIRA ROCHA
Instituição
IPP-ISEP
2020
Autor
SILVESTRE DANIEL DIAS CARVALHO
Instituição
IPP-ISEP
2019
Autor
BRUNO MIGUEL FERREIRA TEIXEIRA
Instituição
IPP-ISEP
2018
Autor
Mário Jorge da Costa Faria
Instituição
UTAD
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