Modular spectral imaging (MOSI) system for discrimination of pigments in cells and microbial communities
Modular spectral imaging (MOSI) system for discrimination of pigments in cells and microbial communities
Here we describe a spectral imaging system for minimally invasive identification, localization, and relative quantification of pigments in cells and microbial communities. The modularity of the system allows pigment detection on spatial scales ranging from the single-cell level to regions whose areas are several tens of square centimeters. For pigment identification in vivo absorption and/or autofluorescence spectra are used as the analytical signals. Along with the hardware, which is easy to transport and simple to assemble and allows rapid measurement, we describe newly developed software that allows highly sensitive and pigment-specific analyses of the hyperspectral data. We also propose and describe a number of applications of the system for microbial ecology, including identification of pigments in living cells and high-spatial-resolution imaging of pigments and the associated phototrophic groups in complex microbial communities, such as photosynthetic endolithic biofilms, microbial mats, and intertidal sediments. This system provides new possibilities for studying the role of spatial organization of microorganisms in the ecological functioning of complex benthic microbial communities or for noninvasively monitoring changes in the spatial organization and/or composition of a microbial community in response to changing environmental factors
758-771
Polerecky, Lubos
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Bissett, Andrew
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Al-Najjar, Mohammad
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Faerber, Paul
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Osmers, Harald
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Suci, Peter A.
4aee47ce-79c2-4919-98a0-feecdeb78199
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
de Beer, Dirk
cb8d8130-86eb-4ecb-9496-41543e1fe536
February 2009
Polerecky, Lubos
589d9c0a-0fc5-4779-a0d0-68289b4f6620
Bissett, Andrew
d47687c5-6da0-4081-b6d7-9d970518cf56
Al-Najjar, Mohammad
07f8fdfc-a467-4def-b373-ccc3dc07b7a1
Faerber, Paul
50c05066-dfaa-47ce-b6c8-f5ed4fc65ef5
Osmers, Harald
5e520048-c3a2-44eb-9d90-52eb0740726b
Suci, Peter A.
4aee47ce-79c2-4919-98a0-feecdeb78199
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
de Beer, Dirk
cb8d8130-86eb-4ecb-9496-41543e1fe536
Polerecky, Lubos, Bissett, Andrew, Al-Najjar, Mohammad, Faerber, Paul, Osmers, Harald, Suci, Peter A., Stoodley, Paul and de Beer, Dirk
(2009)
Modular spectral imaging (MOSI) system for discrimination of pigments in cells and microbial communities.
Applied and Environmental Microbiology, 3 (75), .
(doi:10.1128/AEM.00819-08).
Abstract
Here we describe a spectral imaging system for minimally invasive identification, localization, and relative quantification of pigments in cells and microbial communities. The modularity of the system allows pigment detection on spatial scales ranging from the single-cell level to regions whose areas are several tens of square centimeters. For pigment identification in vivo absorption and/or autofluorescence spectra are used as the analytical signals. Along with the hardware, which is easy to transport and simple to assemble and allows rapid measurement, we describe newly developed software that allows highly sensitive and pigment-specific analyses of the hyperspectral data. We also propose and describe a number of applications of the system for microbial ecology, including identification of pigments in living cells and high-spatial-resolution imaging of pigments and the associated phototrophic groups in complex microbial communities, such as photosynthetic endolithic biofilms, microbial mats, and intertidal sediments. This system provides new possibilities for studying the role of spatial organization of microorganisms in the ecological functioning of complex benthic microbial communities or for noninvasively monitoring changes in the spatial organization and/or composition of a microbial community in response to changing environmental factors
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Published date: February 2009
Additional Information:
The National Centre for Advanced Tribology at Southampton (nCATS)
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Local EPrints ID: 71660
URI: http://eprints.soton.ac.uk/id/eprint/71660
ISSN: 0099-2240
PURE UUID: 691c1155-ae35-4e54-aabe-f93b9c074292
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Date deposited: 17 Dec 2009
Last modified: 14 Mar 2024 02:55
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Contributors
Author:
Lubos Polerecky
Author:
Andrew Bissett
Author:
Mohammad Al-Najjar
Author:
Paul Faerber
Author:
Harald Osmers
Author:
Peter A. Suci
Author:
Dirk de Beer
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