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Process Monitoring with Imaging Flow Cytometry - a Machine Learning Approach

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Pischel,  D.
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Flassig,  R.
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  K.
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Pischel, D., Buchbinder, J. H., Flassig, R., Lavrik, I. N., & Sundmacher, K. (2017). Process Monitoring with Imaging Flow Cytometry - a Machine Learning Approach. Talk presented at ECAB/WCCE 2017. Barcelona, Spain. 2017-10-01 - 2017-10-05.


Cite as: http://hdl.handle.net/21.11116/0000-0003-BE17-E
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