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Matthews SA, Coelho C, Rodriguez Salas EE, Brock EE, Hodge VJ, Walker JA, Wilson LG. Real-time 3D tracking of swimming microbes using digital holographic microscopy and deep learning. PLoS One 2024; 19:e0301182. [PMID: 38669245 PMCID: PMC11051601 DOI: 10.1371/journal.pone.0301182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/12/2024] [Indexed: 04/28/2024] Open
Abstract
The three-dimensional swimming tracks of motile microorganisms can be used to identify their species, which holds promise for the rapid identification of bacterial pathogens. The tracks also provide detailed information on the cells' responses to external stimuli such as chemical gradients and physical objects. Digital holographic microscopy (DHM) is a well-established, but computationally intensive method for obtaining three-dimensional cell tracks from video microscopy data. We demonstrate that a common neural network (NN) accelerates the analysis of holographic data by an order of magnitude, enabling its use on single-board computers and in real time. We establish a heuristic relationship between the distance of a cell from the focal plane and the size of the bounding box assigned to it by the NN, allowing us to rapidly localise cells in three dimensions as they swim. This technique opens the possibility of providing real-time feedback in experiments, for example by monitoring and adapting the supply of nutrients to a microbial bioreactor in response to changes in the swimming phenotype of microbes, or for rapid identification of bacterial pathogens in drinking water or clinical samples.
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Affiliation(s)
- Samuel A. Matthews
- School of Physics, Engineering and Technology, University of York, Heslington, York, United Kingdom
| | - Carlos Coelho
- School of Physics, Engineering and Technology, University of York, Heslington, York, United Kingdom
| | - Erick E. Rodriguez Salas
- School of Physics, Engineering and Technology, University of York, Heslington, York, United Kingdom
| | - Emma E. Brock
- School of Physics, Engineering and Technology, University of York, Heslington, York, United Kingdom
| | | | - James A. Walker
- Department of Computer Science, Deramore Lane, York, United Kingdom
| | - Laurence G. Wilson
- School of Physics, Engineering and Technology, University of York, Heslington, York, United Kingdom
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Fu B, Brock EE, Andrews R, Breiter JC, Tian R, Toomey CE, Lachica J, Lashley T, Ryten M, Wood NW, Vendruscolo M, Gandhi S, Weiss LE, Beckwith JS, Lee SF. RASP: Optimal Single Puncta Detection in Complex Cellular Backgrounds. J Phys Chem B 2024; 128:3585-3597. [PMID: 38593280 PMCID: PMC11033865 DOI: 10.1021/acs.jpcb.4c00174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/01/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Abstract
Super-resolution and single-molecule microscopies have been increasingly applied to complex biological systems. A major challenge of these approaches is that fluorescent puncta must be detected in the low signal, high noise, heterogeneous background environments of cells and tissue. We present RASP, Radiality Analysis of Single Puncta, a bioimaging-segmentation method that solves this problem. RASP removes false-positive puncta that other analysis methods detect and detects features over a broad range of spatial scales: from single proteins to complex cell phenotypes. RASP outperforms the state-of-the-art methods in precision and speed using image gradients to separate Gaussian-shaped objects from the background. We demonstrate RASP's power by showing that it can extract spatial correlations between microglia, neurons, and α-synuclein oligomers in the human brain. This sensitive, computationally efficient approach enables fluorescent puncta and cellular features to be distinguished in cellular and tissue environments, with sensitivity down to the level of the single protein. Python and MATLAB codes, enabling users to perform this RASP analysis on their own data, are provided as Supporting Information and links to third-party repositories.
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Affiliation(s)
- Bin Fu
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Emma E. Brock
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Rebecca Andrews
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Jonathan C. Breiter
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Ru Tian
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Christina E. Toomey
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- Department
of Neurodegenerative Diseases, UCL Queen
Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Joanne Lachica
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- The
Francis Crick Institute, King’s Cross, London NW1 1AT, U.K.
| | - Tammaryn Lashley
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- The
Queen Square Brain Bank for Neurological Disorders, Department of
Clinical and Movement Neuroscience, UCL
Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- Department
of Neurodegenerative Diseases, UCL Queen
Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Mina Ryten
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Great
Ormond Street Institute of Child Health, University College London, London WC1E 6BT, U.K.
- UK
Dementia Research Institute at the University of Cambridge, Cambridge CB2 0AH, U.K.
- Department
of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, U.K.
| | - Nicholas W. Wood
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Department
of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, U.K.
| | - Michele Vendruscolo
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
| | - Sonia Gandhi
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
- Department
of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, U.K.
- The
Francis Crick Institute, King’s Cross, London NW1 1AT, U.K.
| | - Lucien E. Weiss
- Department of Engineering Physics, Polytechnique
Montréal, Montréal, Québec H3T 1J4, Canada
| | - Joseph S. Beckwith
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
| | - Steven F. Lee
- Yusuf
Hamied Department of Chemistry, University
of Cambridge, Lensfield
Road, Cambridge CB2 1EW, U.K.
- Aligning
Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, Maryland 20815, United States
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