Highly flexible, precise dielectrophoretic, AI image analysis enabled sorting of cells in a microfluidic system

Continuous flow cell sorting based on image analysis is a powerful concept that exploits spatially resolved features in cells for sorting them. However, most of the systems published so far are very complex, offer only limited image quality and/or are limited to a specific imaging modality. We present a low-complex microfluidic microscope add-on that allows any microscope to be turned into an image-activated cell sorter capable of sorting cells by previously inaccessible features in cells. The cells are handled directly, using negative dielectrophoresis (DEP) at a sample volume throughput of ca. 1 μl/min, utilizing low flow velocities around 1 mm/s, enabling fluorescence microscopy-based image acquisition and AI-based sorting, and reducing shear stress on the cells.

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Published
2025-03-20
DOI
https://doi.org/10.1117/12.3043648
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
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article

Highly flexible, precise dielectrophoretic, AI image analysis enabled sorting of cells in a microfluidic system

Erik Beckert, Neus Godino, Michaela Benz, Julia Hetzel et al.
Microfluidic and Bio-sensing Technologies
article

Highly flexible, precise dielectrophoretic, AI image analysis enabled sorting of cells in a microfluidic system

Erik Beckert, Neus Godino, Michaela Benz, Julia Hetzel, Felix Pfisterer, Michael Kirschbaum, Volker Bruns, Falk Kemper, Norbert Danz, Rosalie Kletzander, Tobias Gerlach, Thomas Schoenfelder, Sarah Schulenberg, Michael Schmück-Henneresse
article en

Abstract

Continuous flow cell sorting based on image analysis is a powerful concept that exploits spatially resolved features in cells for sorting them. However, most of the systems published so far are very complex, offer only limited image quality and/or are limited to a specific imaging modality. We present a low-complex microfluidic microscope add-on that allows any microscope to be turned into an image-activated cell sorter capable of sorting cells by previously inaccessible features in cells. The cells are handled directly, using negative dielectrophoresis (DEP) at a sample volume throughput of ca. 1 μl/min, utilizing low flow velocities around 1 mm/s, enabling fluorescence microscopy-based image acquisition and AI-based sorting, and reducing shear stress on the cells.

Fraunhofer Institute for Applied Optics and Precision Engineering (DE), Fraunhofer Institute for Integrated Circuits (DE), Fraunhofer Institute for Cell Therapy and Immunology (DE), Charité - Universitätsmedizin Berlin (DE)
Affordable and clean energy
Openalex Percentile: Top 95%
Microfluidic and Bio-sensing Technologies
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Highly flexible, precise dielectrophoretic, AI image analysis enabled sorting of cells in a microfluidic system — Erik Beckert, Neus Godino, et al. · (2025) | TGRS Research Map | TGRS