Artificial Neural Network Study of Whole-Cell Bacterial Bioreporter Response Determined Using Fluorescence Flow Cytometry-Reference-Cited by-同舟云学术

Artificial Neural Network Study of Whole-Cell Bacterial Bioreporter Response Determined Using Fluorescence Flow Cytometry

Published:2007-10-24 Issue:23 Volume:79 Page:9107-9114
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Busam Sirisha¹,McNabb Maia¹,Wackwitz Anke¹,Senevirathna Wasana¹,Beggah Siham¹,van der Meer Jan Roelof¹,Wells Mona¹,Breuer Uta¹,Harms Hauke¹

Affiliation:

1. Department of Chemistry, Tennessee Technological University, Cookeville, Tennessee 38505, Department of Environmental Microbiology, Helmholtz Center for Environmental Research, UFZ, D-04318, Leipzig, Germany, and Department of Fundamental Microbiology, University of Lausanne, CH-1015, Lausanne, Switzerland

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ac0713508

Reference25 articles.

1. Microbial whole-cell sensing systems of environmental pollutants

2. Illuminating the detection chain of bacterial bioreporters

3. Advances in optical detection strategies for reporter signal measurements

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