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Estimating microbial population data from optical density

The spectrophotometer has been used for decades to measure the density of bacterial populations as the turbidity expressed as optical density–OD. However, the OD alone is an unreliable metric and is only proportionately accurate to cell titers to about an OD of 0.1. The relationship between OD and c...

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Detalles Bibliográficos
Autores principales: Mira, Portia, Yeh, Pamela, Hall, Barry G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562214/
https://www.ncbi.nlm.nih.gov/pubmed/36228033
http://dx.doi.org/10.1371/journal.pone.0276040
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author Mira, Portia
Yeh, Pamela
Hall, Barry G.
author_facet Mira, Portia
Yeh, Pamela
Hall, Barry G.
author_sort Mira, Portia
collection PubMed
description The spectrophotometer has been used for decades to measure the density of bacterial populations as the turbidity expressed as optical density–OD. However, the OD alone is an unreliable metric and is only proportionately accurate to cell titers to about an OD of 0.1. The relationship between OD and cell titer depends on the configuration of the spectrophotometer, the length of the light path through the culture, the size of the bacterial cells, and the cell culture density. We demonstrate the importance of plate reader calibration to identify the exact relationship between OD and cells/mL. We use four bacterial genera and two sizes of micro-titer plates (96-well and 384-well) to show that the cell/ml per unit OD depends heavily on the bacterial cell size and plate size. We applied our calibration curve to real growth curve data and conclude the cells/mL–rather than OD–is a metric that can be used to directly compare results across experiments, labs, instruments, and species.
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spelling pubmed-95622142022-10-15 Estimating microbial population data from optical density Mira, Portia Yeh, Pamela Hall, Barry G. PLoS One Lab Protocol The spectrophotometer has been used for decades to measure the density of bacterial populations as the turbidity expressed as optical density–OD. However, the OD alone is an unreliable metric and is only proportionately accurate to cell titers to about an OD of 0.1. The relationship between OD and cell titer depends on the configuration of the spectrophotometer, the length of the light path through the culture, the size of the bacterial cells, and the cell culture density. We demonstrate the importance of plate reader calibration to identify the exact relationship between OD and cells/mL. We use four bacterial genera and two sizes of micro-titer plates (96-well and 384-well) to show that the cell/ml per unit OD depends heavily on the bacterial cell size and plate size. We applied our calibration curve to real growth curve data and conclude the cells/mL–rather than OD–is a metric that can be used to directly compare results across experiments, labs, instruments, and species. Public Library of Science 2022-10-13 /pmc/articles/PMC9562214/ /pubmed/36228033 http://dx.doi.org/10.1371/journal.pone.0276040 Text en © 2022 Mira et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Lab Protocol
Mira, Portia
Yeh, Pamela
Hall, Barry G.
Estimating microbial population data from optical density
title Estimating microbial population data from optical density
title_full Estimating microbial population data from optical density
title_fullStr Estimating microbial population data from optical density
title_full_unstemmed Estimating microbial population data from optical density
title_short Estimating microbial population data from optical density
title_sort estimating microbial population data from optical density
topic Lab Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562214/
https://www.ncbi.nlm.nih.gov/pubmed/36228033
http://dx.doi.org/10.1371/journal.pone.0276040
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