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Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas aeruginosa

Authors
  • Ward, Scott1,
  • Cohen, Edward A.K.1,
  • Adams, Niall1, 2
  • 1 Deparment of Mathematics, Imperial College London, London, United Kingdom
  • 2 Data Science Institute, Imperial College London, London, United Kingdom
Type
Published Article
Journal
Conference record. Asilomar Conference on Signals, Systems & Computers
Publication Date
Oct 01, 2018
Volume
2018
Identifiers
DOI: 10.1109/ACSSC.2018.8645478
PMID: 31341376
PMCID: PMC6656580
Source
PubMed Central
License
Unknown

Abstract

With advances in experimental technologies, the use of biological imaging has grown rapidly and there is need for procedures to combine data arising from different modalities. We propose a procedure to combine yellow fluorescence protein excitation and differential interference contrast microscopy time lapse videos to better estimate the cellular boundary of Pseudomonas aeruginosa (P. aeruginosa) and localization of it’s type VI secretion system (T6SS). By approximating the shape by an ellipse, we construct a penalized objective function which accounts for both sources; the minimum of which provides an elliptical approximation to their cellular boundaries. Our approach suggests improved localization of the T6SS on the estimated cell boundary of P. aeruginosa constructed using both sources of data compared to using each in isolation.

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