Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations

Time-resolved live-cell imaging using widefield microscopy is instrumental in quantitative microbiology research. It allows researchers to track and measure the size, shape, and content of individual microbial cells over time. However, the small size of microbial cells poses a significant challenge in interpreting image data, as their dimensions approache that of the microscope's depth of field, and they begin to experience significant diffraction effects. As a result, 2D widefield images of microbial cells contain projected 3D information, blurred by the 3D point spread function. In this study, we employed simulations and targeted experiments to investigate the impact of diffraction and projection on our ability to quantify the size and content of microbial cells from 2D microscopic images. This study points to some new and often unconsidered artefacts resulting from the interplay of projection and diffraction effects, within the context of quantitative microbiology. These artefacts introduce substantial errors and biases in size, fluorescence quantification, and even single-molecule counting, making the elimination of these errors a complex task. Awareness of these artefacts is crucial for designing strategies to accurately interpret micrographs of microbes. To address this, we present new experimental designs and machine learning-based analysis methods that account for these effects, resulting in accurate quantification of microbiological processes.

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Publication Details

Journal
npj Imaging
Published
2024-09-02
DOI
https://doi.org/10.1038/s44303-024-00024-4
Citations
8
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
5.30

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article

Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations

Georgeos Hardo, Somenath Bakshi, Ruizhe Li
8 citations
npj Imaging
Cell Image Analysis Techniques
5.30
article

Quantitative microbiology with widefield microscopy: navigating optical artefacts for accurate interpretations

Georgeos Hardo, Somenath Bakshi, Ruizhe Li
article en
8 citations

Abstract

Time-resolved live-cell imaging using widefield microscopy is instrumental in quantitative microbiology research. It allows researchers to track and measure the size, shape, and content of individual microbial cells over time. However, the small size of microbial cells poses a significant challenge in interpreting image data, as their dimensions approache that of the microscope's depth of field, and they begin to experience significant diffraction effects. As a result, 2D widefield images of microbial cells contain projected 3D information, blurred by the 3D point spread function. In this study, we employed simulations and targeted experiments to investigate the impact of diffraction and projection on our ability to quantify the size and content of microbial cells from 2D microscopic images. This study points to some new and often unconsidered artefacts resulting from the interplay of projection and diffraction effects, within the context of quantitative microbiology. These artefacts introduce substantial errors and biases in size, fluorescence quantification, and even single-molecule counting, making the elimination of these errors a complex task. Awareness of these artefacts is crucial for designing strategies to accurately interpret micrographs of microbes. To address this, we present new experimental designs and machine learning-based analysis methods that account for these effects, resulting in accurate quantification of microbiological processes.

npj ImagingVol. 2(1)
University of Cambridge (GB)
Wellcome Trust, International Seafood Sustainability Foundation, University of Cambridge, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 5%
Cell Image Analysis Techniques
5.30
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