Process Monitoring with Imaging Flow Cytometry - a Machine Learning Approach

Pischel, D.; Buchbinder, J. H.; Flassig, R.; Lavrik, I. N.; Sundmacher, K.

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Process Monitoring with Imaging Flow Cytometry - a Machine Learning Approach

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-BE17-E Version Permalink: https://hdl.handle.net/21.11116/0000-0003-BE18-D

Genre: Talk

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Creators:
Pischel, D.¹, Author
Buchbinder, J. H.², Author
Flassig, R.¹, Author
Lavrik, I. N.², Author
Sundmacher, K.^{1, 2}, Author

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156

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Language(s): eng - English

Dates: Created: 2017

Publication Status: Not specified

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Rev. Type: Peer

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Title: ECAB/WCCE 2017

Place of Event: Barcelona, Spain

Start-/End Date: 2017-10-01 - 2017-10-05

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