DART-MLCI: A design-aware microfluidic chip paradigm for real-time live-cell image analysis
Zenodo (CERN European Organization for Nuclear Research)
Abstract
DART-MLCI performs real-time microfluidic region-of-interest (RoI) image processing: it takes a raw microscopy frame, detects alignment markers, rotates and crops the RoI, masks the region of interest, and segments cells automatically for any chip design described by a single JSON config (fine alignment). It further provides time-constant microfluidic chip mapping: several RoI positions on the microfluidic chip are recorded while it is on the microscope stage, and the microfluidic blueprint is aligned to stage coordinates, yielding all RoI positions for any chip design described by a single JSON config (coarse alignment).
Authors 6
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Affiliation as printed
Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany
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Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany; Computational Systems Biotechnology (AVT.CSB), RWTH Aachen University, Aachen, Germany
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Affiliation as printed
Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum Jülich, Jülich, Germany
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Affiliation as printed
Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany
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Affiliation as printed
Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum Jülich, Jülich, Germany
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Affiliation as printed
Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich, Jülich, Germany
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