Output details
11 - Computer Science and Informatics
University of Nottingham
Article title
CellSeT: novel software to extract and analyze structured networks of plant cells from confocal images
Type
D - Journal article
Title of journal
Plant Cell
Article number
-
Volume number
24
Issue number
4
First page of article
1353
ISSN of journal
1040-4651
Year of publication
2012
URL
-
Number of additional authors
4
Additional information
<23> The CellSeT software utilizes tissue-scale structure to help segment individual cells in confocal laser microcope images. This paper describes the novel approach, and shows how CellSeT can be used to quantify fluorescence of hormone-responsive nuclear reporters, determine membrane protein polarity, extract cell and tissue geometry for use in later modelling, and take many additional biologically relevant measures using an extensible plug-in toolset. To date, the software has been downloaded more than 300 times. The Plant Cell is one of the top journals in plant biology, with a five-year impact factor of 10.125.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
