Fusing multimodal microscopy data for improved cell boundary estimation and fluorophore localization of Pseudomonas aeruginosa
File(s)08645478.pdf (1.99 MB)
Accepted version
Author(s)
Ward, Scott
Cohen, Edward
Adams, Niall
Type
Conference Paper
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.
Date Issued
2019-02-22
Date Acceptance
2019-01-01
Citation
2018 52nd Asilomar Conference on Signals, Systems, and Computers, 2019
Publisher
IEEE
Journal / Book Title
2018 52nd Asilomar Conference on Signals, Systems, and Computers
Copyright Statement
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Wellcome Trust
Grant Number
203799/Z/16/Z
Source
Asilomar Conference on Signals, Systems and Computers
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
INVERSION
Publication Status
Published
Start Date
2018-10-29
Coverage Spatial
Pacific Grove, CA, USA