Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Leeds
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Output 0 of 0 in the submission
Article title
Algorithms for the automated analysis of cellular dynamics within living fungal colonies
Type
D - Journal article
Title of journal
Cytometry Part A
Article number
-
Volume number
75
Issue number
9
First page of article
768
ISSN of journal
15524922
Year of publication
2009
URL
-
Number of additional authors
4
Additional information
This work provides a novel and robust methodology for long time series analysis of organelle dynamics in live cell systems. The exemplary data from fungal cell colonies provided supporting evidence for a new understanding of the role of cell fusion in colony growth and phenotyping of individual organelles. The work was the result of a new collaboration funded through a BioPhotonics platform grant (EPSRC GR/S96555) and directly led to a new project to study mosquito behaviour as a vector for malaria (FP7 AFRICA-HEALTH-F3-2011-265660, £325k to Leeds), the latter generating a patent application for new bed net designs.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
