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Computer Graphics Forum
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
DBLP
Article . 2019
Data sources: DBLP
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Cell lineage visualisation

Authors: A. Johannes Pretorius; Imtiaz A. Khan; Rachel J. Errington;

Cell lineage visualisation

Abstract

AbstractCell lineages describe the developmental history of Cell populations and are produced by combining time‐lapse imaging and image processing. Biomedical researchers study Cell lineages to understand fundamental processes such as Cell differentiation and the pharmacodynamic action of anticancer agents. Yet, the interpretation of Cell lineages is hindered by their complexity and insufficient capacity for visual analysis. We present a novel approach for interactive visualisation of Cell lineages. Based on an understanding of Cellular biology and live‐Cell imaging methodology, we identify three requirements: multimodality (Cell lineages combine spatial, temporal, and other properties), symmetry (related to lineage branching structure), and synchrony (related to temporal alignment of Cellular events). We address these by combining visual summaries of the spatiotemporal behaviour of an arbitrary number of lineages, including variation from average behaviour, with node‐link representations that emphasise the presence or absence of symmetry and synchrony. We illustrate the merit of our approach by presenting a real‐world case study where the cytotoxic action of the anticancer drug topotecan was determined.

Country
United Kingdom
Keywords

visualisation, life and medical sciences - biology and genetics, data visualisation, information visualisation, cell biology, biological data, cell lineage, computer graphics applications, 004

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Average
Green
bronze