- AutorIn
- Susanne Dunker
- Matthew Boyd
- Walter Durka
- Silvio Erler
- W. Stanley Harpole
- Silvia Henning
- Ulrike Herzschuh
- Thomas Hornick
- Tiffany Knight
- Stefan Lips
- Patrick Mäder
- Elena Motivans Švara
- Steven Mozarowski
- Demetra Rakosy
- Christine Römermann
- Mechthild Schmitt-Jansen
- Kathleen Stoof-Leichsenring
- Frank Stratmann
- Regina Treudler
- Risto Virtanen
- Titel
- The potential of multispectral imaging flow cytometry for environmental monitoring
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-885179
- Quellenangabe
- Cytometry : Part A
Erscheinungsjahr: 2022
Jahrgang: 101
Heft: 9
Seiten: 782-799 - Erstveröffentlichung
- 2022
- Abstract (EN)
- 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 wellsuited 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.
- Andere Ausgabe
- Link zur Erstveröffentlichung
DOI: 10.1002/cyto.a.24658 - Freie Schlagwörter (EN)
- environmental monitoring, imaging flow cytometry, plant traits
- Klassifikation (DDC)
- 570
- Verlag
- John Wiley & Sons, Inc., Hoboken
- Förder- / Projektangaben
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-885179
- Veröffentlichungsdatum Qucosa
- 07.12.2023
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
- CC BY-NC 4.0