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Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization of Cell-Scale Molecular Distributions in Bacterial Biofilms
[Image: see text] Secondary ion mass spectrometry (SIMS) and confocal Raman microscopy (CRM) are combined to analyze the chemical composition of cultured Pseudomonas aeruginosa biofilms, providing complementary chemical information for multiple analytes within the sample. Precise spatial correlation...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical
Society
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221875/ https://www.ncbi.nlm.nih.gov/pubmed/25268906 http://dx.doi.org/10.1021/ac5030914 |
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author | Lanni, Eric J. Masyuko, Rachel N. Driscoll, Callan M. Dunham, Sage J. B. Shrout, Joshua D. Bohn, Paul W. Sweedler, Jonathan V. |
author_facet | Lanni, Eric J. Masyuko, Rachel N. Driscoll, Callan M. Dunham, Sage J. B. Shrout, Joshua D. Bohn, Paul W. Sweedler, Jonathan V. |
author_sort | Lanni, Eric J. |
collection | PubMed |
description | [Image: see text] Secondary ion mass spectrometry (SIMS) and confocal Raman microscopy (CRM) are combined to analyze the chemical composition of cultured Pseudomonas aeruginosa biofilms, providing complementary chemical information for multiple analytes within the sample. Precise spatial correlation between SIMS and CRM images is achieved by applying a chemical microdroplet array to the sample surface which is used to navigate the sample, relocate regions of interest, and align image data. CRM is then employed to nondestructively detect broad molecular constituent classes—including proteins, carbohydrates, and, for the first time, quinolone signaling molecules—in Pseudomonas-derived biofilms. Subsequent SIMS imaging at the same location detects quinolone distributions in excellent agreement with the CRM, discerns multiple quinolone species which differ slightly in mass, resolves subtle differences in their distributions, and resolves ambiguous compound assignments from CRM by determining specific molecular identities via in situ tandem MS. |
format | Online Article Text |
id | pubmed-4221875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | American
Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-42218752014-11-09 Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization of Cell-Scale Molecular Distributions in Bacterial Biofilms Lanni, Eric J. Masyuko, Rachel N. Driscoll, Callan M. Dunham, Sage J. B. Shrout, Joshua D. Bohn, Paul W. Sweedler, Jonathan V. Anal Chem [Image: see text] Secondary ion mass spectrometry (SIMS) and confocal Raman microscopy (CRM) are combined to analyze the chemical composition of cultured Pseudomonas aeruginosa biofilms, providing complementary chemical information for multiple analytes within the sample. Precise spatial correlation between SIMS and CRM images is achieved by applying a chemical microdroplet array to the sample surface which is used to navigate the sample, relocate regions of interest, and align image data. CRM is then employed to nondestructively detect broad molecular constituent classes—including proteins, carbohydrates, and, for the first time, quinolone signaling molecules—in Pseudomonas-derived biofilms. Subsequent SIMS imaging at the same location detects quinolone distributions in excellent agreement with the CRM, discerns multiple quinolone species which differ slightly in mass, resolves subtle differences in their distributions, and resolves ambiguous compound assignments from CRM by determining specific molecular identities via in situ tandem MS. American Chemical Society 2014-09-30 2014-11-04 /pmc/articles/PMC4221875/ /pubmed/25268906 http://dx.doi.org/10.1021/ac5030914 Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Lanni, Eric J. Masyuko, Rachel N. Driscoll, Callan M. Dunham, Sage J. B. Shrout, Joshua D. Bohn, Paul W. Sweedler, Jonathan V. Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title | Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization
of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title_full | Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization
of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title_fullStr | Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization
of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title_full_unstemmed | Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization
of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title_short | Correlated Imaging with C(60)-SIMS and Confocal Raman Microscopy: Visualization
of Cell-Scale Molecular Distributions in Bacterial Biofilms |
title_sort | correlated imaging with c(60)-sims and confocal raman microscopy: visualization
of cell-scale molecular distributions in bacterial biofilms |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221875/ https://www.ncbi.nlm.nih.gov/pubmed/25268906 http://dx.doi.org/10.1021/ac5030914 |
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