Logo do repositório
 
Publicação

Quantitative image analysis of cells using morphodynamical models:

datacite.subject.fosBiologypt_PT
dc.contributor.advisorCarneiro, Jorge
dc.contributor.authorSilva, Pedro Ângelo Pereira da
dc.date.accessioned2019-06-27T16:16:23Z
dc.date.available2019-06-27T16:16:23Z
dc.date.issued2017
dc.date.submitted2017-04
dc.description.abstract"Digitization and robotization of laboratory equipment has recently contributed to the generation of high content of data and its metadata. While this seems like an advantage for science's celerity, the analysis of such data became the limiting step { a very narrow bottleneck. Such is the case for imaging data acquisition and its analysis. After collecting Gigabytes of images, researchers spend several orders of magnitude of more time to determine the regions of interest (ROIs) (e.g. cell) and to measure relevant attributes (e.g. mean uorescence intensity). This manual curation of data promotes another issue that is related with the reproducibility of the analysis, e.g., the same researcher will hardly select the exact same ROIs in the same data set. Furthermore, there is also the possibility of bias in the selection of which cells to use in the analysis by biased determination of the ROIs.(---)"pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/73810
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSea urchin Spermatozoapt_PT
dc.subjectimage analysispt_PT
dc.subjectcellspt_PT
dc.subjectmorphodynamicalpt_PT
dc.titleQuantitative image analysis of cells using morphodynamical models:pt_PT
dc.title.alternativeSea urchin spermatozoa as case studypt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
thesis.degree.nameDissertation presented to obtain the PhD degree in Biologypt_PT

Ficheiros

Principais
A mostrar 1 - 1 de 1
A carregar...
Miniatura
Nome:
Pedro Angelo Silva - PhD thesis.pdf
Tamanho:
2.32 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
348 B
Formato:
Item-specific license agreed upon to submission
Descrição: