High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale

High-content imaging (HCI) is a microscopy technique that permits the screening of multiple cells simultaneously in high resolution to detect subtle morphological and phenotypic variation. The power of this methodology is that it can generate large data sets comprised of multiple parameters taken f...

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Autores principales: Sushmita Sridhar, Sally Forrest, Ben Warne, Mailis Maes, Stephen Baker, Gordon Dougan, Josefin Bartholdson Scott
Formato: article
Lenguaje:EN
Publicado: American Society for Microbiology 2021
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Acceso en línea:https://doaj.org/article/7e8b446402e5440bb347bd6797cfcc67
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spelling oai:doaj.org-article:7e8b446402e5440bb347bd6797cfcc672021-12-02T15:16:36ZHigh-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale2379-507710.1128/mSystems.00028-21https://doaj.org/article/7e8b446402e5440bb347bd6797cfcc672021-06-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00028-21https://doaj.org/toc/2379-5077 High-content imaging (HCI) is a microscopy technique that permits the screening of multiple cells simultaneously in high resolution to detect subtle morphological and phenotypic variation. The power of this methodology is that it can generate large data sets comprised of multiple parameters taken from individual cells subjected to a range of different conditions.Sushmita SridharSally ForrestBen WarneMailis MaesStephen BakerGordon DouganJosefin Bartholdson ScottAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 3 (2021)
institution DOAJ
collection DOAJ
language EN
topic Microbiology
QR1-502
spellingShingle Microbiology
QR1-502
Sushmita Sridhar
Sally Forrest
Ben Warne
Mailis Maes
Stephen Baker
Gordon Dougan
Josefin Bartholdson Scott
High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
description High-content imaging (HCI) is a microscopy technique that permits the screening of multiple cells simultaneously in high resolution to detect subtle morphological and phenotypic variation. The power of this methodology is that it can generate large data sets comprised of multiple parameters taken from individual cells subjected to a range of different conditions.
format article
author Sushmita Sridhar
Sally Forrest
Ben Warne
Mailis Maes
Stephen Baker
Gordon Dougan
Josefin Bartholdson Scott
author_facet Sushmita Sridhar
Sally Forrest
Ben Warne
Mailis Maes
Stephen Baker
Gordon Dougan
Josefin Bartholdson Scott
author_sort Sushmita Sridhar
title High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
title_short High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
title_full High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
title_fullStr High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
title_full_unstemmed High-Content Imaging to Phenotype Antimicrobial Effects on Individual Bacteria at Scale
title_sort high-content imaging to phenotype antimicrobial effects on individual bacteria at scale
publisher American Society for Microbiology
publishDate 2021
url https://doaj.org/article/7e8b446402e5440bb347bd6797cfcc67
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AT mailismaes highcontentimagingtophenotypeantimicrobialeffectsonindividualbacteriaatscale
AT stephenbaker highcontentimagingtophenotypeantimicrobialeffectsonindividualbacteriaatscale
AT gordondougan highcontentimagingtophenotypeantimicrobialeffectsonindividualbacteriaatscale
AT josefinbartholdsonscott highcontentimagingtophenotypeantimicrobialeffectsonindividualbacteriaatscale
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