Confocal autofluorescence identification of bacteria, fungi, and acanthamoeba in infected porcine cornea models

Wen, Shu-Han; Jhanji, Vishal; Chen, Dong

doi:10.1016/j.ijleo.2018.04.110

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…different spectral regions [19,20]. Additionally, fluorescence properties of intracellular molecules and structures can be used as readout, leading to different autofluorescence spectra in organisms [21][22][23][24]. Furthermore, the difference within structural composition enables discrimination of cell types and strains by staining technique with specific dyes to create contrast between different species.…”

Section: Open Accessmentioning

confidence: 99%

“…It can combine various modalities from other methods, such as fluorescence, absorbance, morphology, and size, while spatially separating cells, allowing separate unmixed signals to be assigned to each cell [27]. Besides microscopy, absorbance and fluorescence measurement are in general suitable techniques for the quantitative offline characterization of defined mixed-culture compositions [22,23,[55][56][57]. Autofluorescence and absorbance are non-invasive and scalable measurement principles with applications from the pico-liter to cubic-meter level [21,33].…”

Section: Open Accessmentioning

confidence: 99%

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Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes

Schlembach

Grünberger

Regestein

2021

Trends in Biotechnology

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Microbial mixed cultures are gaining increasing attention as biotechnological production systems, since they offer a large but untapped potential for future bioprocesses. Effects of secondary metabolite induction and advantages of labor division for the degradation of complex substrates offer new possibilities for process intensification. However, mixed cultures are highly complex, and, consequently, many biotic and abiotic parameters are required to be identified, characterized, and ideally controlled to establish a stable bioprocess. In this review, we discuss the advantages and disadvantages of existing measurement techniques for identifying, characterizing, monitoring, and controlling mixed cultures and highlight promising examples. Moreover, existing challenges and emerging technologies are discussed, which lay the foundation for novel analytical workflows to monitor mixed-culture bioprocesses. Mixed Cultures: Opportunities and Challenges An old tradition is revolutionizing modern biotechnology: microbial collaboration. Mixed-culture applications, such as wastewater treatment, composting, and a broad spectrum of fermentative food preparations, are the historical foundation of current biotechnology. Now, a targeted assembly of microorganisms to perform concerted bioproductions is forming a new cutting edge in biotechnology. Over the past decade, the research field of defined mixed cultures has gained increased attention due to their potential for process intensification and the chance to produce unknown secondary metabolites [1]. In the old-school mixed-culture approach, the driving force to develop mixed culture-specific (online) measurement techniques was very limited. Reasons for this might be the rather low dynamic of these processes and the strong closeness to natural processes and equilibria with no need for control. In other words, there was simply no need for a deeper understanding of these robust systems. However, this is now changing. Since sustainability is currently the most important driving force in biotechnology, the number of published studies on mixed-culture consolidated bioprocesses (see Glossary) with plant biomass, waste streams, and gaseous waste substrates is increasing significantly [2-9]. The products of these processes are, in many cases, acids, alcohols, or enzymes for biomass pretreatment and hydrolysis [6,9]. Higher-value products of mixed cultures are secondary metabolites induced by interspecies communication [1,10-14]. Among these, antimicrobial substances, such as antibiotics, are of critical interest, especially in the context of increasingly multiresistant pathogens [15]. However, in-depth studies in this field are only possible with measurement tools for the identification and characterization of the microbial composition. To avoid the complexity of unknown natural microbial communities, synthetic co-culture systems allow defined combinations of microorganisms with beneficial metabolic pathways. Yet, in contrast to natural communities, which are typically stabilized by natu...

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Section: Open Accessmentioning

confidence: 99%

Section: Open Accessmentioning

confidence: 99%

Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes

Schlembach

Grünberger

Regestein

2021

Trends in Biotechnology

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“…Autofluorescence in Diachea leucopodia was found in the peridium that surrounded the spores and capillitium [ 19 ]. Exploratory and applied research has been increasing, such as that on macroscale fluorescence imaging for microorganisms, in identifying porcine cornea infected by bacteria and fungi using autofluorescence [ 21 , 22 ], and FRET-SLiM and native autofluorescence to study interactions between fluorescent probes and lignin [ 23 ]. In our previous study, 57 conidial samples of powdery mildew were collected from Yunnan, Hainan, and Guangdong provinces in China [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of conidial autofluorescence in powdery mildew

Liu

et al. 2022

Heliyon

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A smartphone-based approach for comprehensive soil microbiome profiling

Liang,

Khanthaphixay,

Reynolds

et al. 2024

Applied Physics Reviews

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The soil microbiome is crucial for nutrient cycling, health, and plant growth. This study presents a smartphone-based approach as a low-cost and portable alternative to traditional methods for classifying bacterial species and characterizing microbial communities in soil samples. By harnessing bacterial autofluorescence detection and machine learning algorithms, the platform achieved an average accuracy of 88% in distinguishing common soil-related bacterial species despite the lack of biomarkers, nucleic acid amplification, or gene sequencing. Furthermore, it successfully identified dominant species within various bacterial mixtures with an accuracy of 76% and three-level soil health identification at an accuracy of 80%–82%, providing insights into microbial community dynamics. The influence of other soil conditions (pH and moisture) was relatively minor, showcasing the platform's robustness. Various field soil samples were also tested with this platform at 80% accuracy compared with the laboratory analyses, demonstrating the practicality and usability of this approach for on-site soil analysis. This study highlights the potential of the smartphone-based system as a valuable tool for soil assessment, microbial monitoring, and environmental management.

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Confocal autofluorescence identification of bacteria, fungi, and acanthamoeba in infected porcine cornea models

Cited by 3 publications

References 9 publications

Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes

Measurement Techniques to Resolve and Control Population Dynamics of Mixed-Culture Processes

Characterization of conidial autofluorescence in powdery mildew

A smartphone-based approach for comprehensive soil microbiome profiling

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