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Pilar García Peñarrubia

dblp:264/2770 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
0000-0002-2922-4804ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
colocalization analysis
0.112005
Quantitative analysis of the factors that affect the determination of colocalization coefficients in dual-color confocal images · IEEE Trans. Image Process. 2005
Bioinformatics and computational biology › bioimage informatics › bioimage analysis
microscopy image analysis
0.112005
Quantitative analysis of the factors that affect the determination of colocalization coefficients in dual-color confocal images · IEEE Trans. Image Process. 2005
Multimedia analysis and retrieval
image analysis
0.112005
Quantitative analysis of the factors that affect the determination of colocalization coefficients in dual-color confocal images · IEEE Trans. Image Process. 2005

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.1
YearPublicationVenuePosition
2005 Quantitative analysis of the factors that affect the determination of colocalization coefficients in dual-color confocal images
abstract
Colocalization analysis is a subject of great interest that allows us to determine those locations at which two or more types of molecules or structures are found simultaneously. In confocal dual-color images, in order to consider a given position as colocalized, the following two conditions must be satisfied: 1) the colors emitted by the molecules labeled with different fluorophores must occupy the same pixel in the image and 2) the intensities of each component of the image must be within a certain range. Since it is not straightforward to assess these two conditions without ambiguity, this can lead to either considering false colocalizations as positive, or, conversely, leaving out positive locations. In fact, at present, there is not a general procedure to determine the area of colocalization that contains those pixels that can be considered as really colocalized (i.e., the pixels for which the above conditions are fulfilled). As a result, it is the user who must decide on the appropriate selection which introduces personal bias. These issues and the guides for a computational procedure independent of the user that allows us to quantify the degree of colocalization in a dual-color system are discussed.
Pilar García Peñarrubia, Xavier Férez Ruiz, Jesús Gálvez
IEEE Trans. Image Process.1