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12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering

University of Leeds

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Output 10 of 120 in the submission

Article title

Algorithms for the automated analysis of cellular dynamics within living fungal colonies

Type

D - Journal article

DOI

10.1002/cyto.a.20750

Title of journal

Cytometry Part A

Article number

Volume number

Issue number

First page of article

768

ISSN of journal

15524922

Year of publication

2009

URL

Number of additional authors

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

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract