TY - JOUR A1 - Koschorreck, Matthias A1 - Frömmichen, René A1 - Herzsprung, Peter A1 - Tittel, Jörg A1 - Wendt-Potthoff, Katrin T1 - Function of straw for in situ remediation of acidic mining lakes Y1 - 2002 SN - 0049-6979 ER - TY - JOUR A1 - Klapper, H. A1 - Boehrer, Bertram A1 - Packroff, G. A1 - Schultze, M. A1 - Tittel, Jörg A1 - Wendt-Potthoff, Katrin T1 - Bergbaufolgegewässer Y1 - 2001 ER - TY - JOUR A1 - Dunker, Susanne A1 - Boyd, Matthew A1 - Durka, Walter A1 - Erler, Silvio A1 - Harpole, W. Stanley A1 - Henning, Silvia A1 - Herzschuh, Ulrike A1 - Hornick, Thomas A1 - Knight, Tiffany A1 - Lips, Stefan A1 - Mäder, Patrick A1 - Švara, Elena Motivans A1 - Mozarowski, Steven A1 - Rakosy, Demetra A1 - Römermann, Christine A1 - Schmitt-Jansen, Mechthild A1 - Stoof-Leichsenring, Kathleen A1 - Stratmann, Frank A1 - Treudler, Regina A1 - Virtanen, Risto A1 - Wendt-Potthoff, Katrin A1 - Wilhelm, Christian T1 - The potential of multispectral imaging flow cytometry for environmental monitoring JF - Cytometry part A N2 - 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. KW - environmental monitoring KW - imaging flow cytometry KW - plant traits Y1 - 2022 U6 - https://doi.org/10.1002/cyto.a.24658 SN - 1552-4922 SN - 1552-4930 VL - 101 IS - 9 SP - 782 EP - 799 PB - Wiley CY - Hoboken ER -