The potential of multispectral imaging flow cytometry for environmental monitoring

Medientyp: E-Artikel

Titel: The potential of multispectral imaging flow cytometry for environmental monitoring

Beteiligte: Dunker, Susanne [Verfasser:in]; Boyd, Matthew [Verfasser:in]; Durka, Walter [Verfasser:in]; Erler, Silvio [Verfasser:in]; Harpole, Stan [Verfasser:in]; Henning, Silvia [Verfasser:in]; Herzschuh, Ulrike [Verfasser:in]; Hornick, Thomas [Verfasser:in]; Knight, Tiffany M. [Verfasser:in]; Lips, Stefan [Verfasser:in]; Mäder, Patrick [Verfasser:in]; Švara, Elena Motivans [Verfasser:in]; Mozarowski, Steven [Verfasser:in]; Rakosy, Demetra [Verfasser:in]; Römermann, Christine [Verfasser:in]; Schmitt-Jansen, Mechthild [Verfasser:in]; Stoof-Leichsenring, Kathleen R. [Verfasser:in]; Stratmann, Frank [Verfasser:in]; Treudler, Regina [Verfasser:in]; Virtanen, Risto [Verfasser:in]; Wendt-Potthoff, Katrin [Verfasser:in]; Wilhelm, Christian [Verfasser:in]

Erschienen: 2022

Sprache: Englisch

DOI: 10.1002/cyto.a.24658

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Beschreibung: Environmental monitoring involves the quantification of microscopic cells and particles such as algae, plant cells, pollen, or fungal spores. Traditional methods using conventional microscopy require expert knowledge, are time-intensive and not well-suited for automated high throughput. Multispectral imaging flow cytometry (MIFC) allows measurement of up to 5000 particles per second from a fluid suspension and can simultaneously capture up to 12 images of every single particle for brightfield and different spectral ranges, with up to 60x magnification. The high throughput of MIFC has high potential for increasing the amount and accuracy of environmental monitoring, such as for plant-pollinator interactions, fossil samples, air, water or food quality that currently rely on manual microscopic methods. Automated recognition of particles and cells is also possible, when MIFC is combined with deep-learning computational techniques. Furthermore, various fluorescence dyes can be used to stain specific parts of the cell to highlight physiological and chemical features including: vitality of pollen or algae, allergen content of individual pollen, surface chemical composition (carbohydrate coating) of cells, DNA- or enzyme-activity staining. Here, we outline the great potential for MIFC in environmental research for a variety of research fields and focal organisms. In addition, we provide best practice recommendations.

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Rechte-/Nutzungshinweise: Namensnennung - Nicht kommerziell (CC BY-NC)
Namensnennung (CC BY)

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