Dresden 2020 – scientific programme

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BP: Fachverband Biologische Physik

BP 17: Poster V

BP 17.16: Poster

Tuesday, March 17, 2020, 14:00–16:00, P2/1OG

Label-free, High Throughput, Optical Characterization and Sorting of Particles and Cells in Microfluidic Channels — •Daniel Geiger, Tobias Neckernuss, Jonas Pfeil, Lisa Kwapich, Patricia Schwilling, and Othmar Marti — Ulm University, Institute of Experimental Physics

We present ODIN, a high performance, label-free optical sensing system for real-time detection, analysis and sorting of biological and synthetic particles and complex structures in a continuous flow. It combines a fast and sensitive CMOS camera sensor and a field programmable gate array, a high-performance data processing unit, with smart evaluation algorithms in a single device. Our algorithms reduce the dimensionality of the data from the camera, which condenses the amount of data tremendously but maintains all important information and in addition decreases noise. This enables ODIN to perform advanced image analysis in real-time at very high frame rates without buffering so that it can run continuously. Hence, we can analyze a large number of objects at very high throughput rates of several thousand objects per second. ODIN analyzes properties like size, shape and morphology of different kinds of particles like microplastic, cells, droplets, algae or complex structures like encapsulated objects. Since our modular analysis toolkit runs in real-time, we can control a microfluidic sorting device to sort objects and cells based on predefined conditions. We show the base technology as well as selected applications from the fields of Lab-on-a-Chip testing, drug delivery and cell mechanics.