Phenotypic variability in bioprocessing conditions can be tracked on the basis of on-line flow cytometry and fits to a scaling law

Jonathan Baert; Romain Kinet; Alison Brognaux; Anissa Delepierre; Samuel Telek; Søren Johannes Sørensen; Leise Riber; Patrick Fickers; Frank Delvigne

doi:10.1002/biot.201400537

Phenotypic variability in bioprocessing conditions can be tracked on the basis of on-line flow cytometry and fits to a scaling law

Jonathan Baert, Romain Kinet, Alison Brognaux, Anissa Delepierre, Samuel Telek, Søren Johannes Sørensen, Leise Riber, Patrick Fickers, Frank Delvigne

Microbiology

Research output: Contribution to journal › Journal article › Research › peer-review

27 Citations (Scopus)

Original language	English
Journal	Biotechnology Journal
Volume	10
Issue number	8
Pages (from-to)	1316-1325
Number of pages	10
ISSN	1860-6768
DOIs	https://doi.org/10.1002/biot.201400537
Publication status	Published - 2015

Keywords

Cell-to-cell heterogeneity
Ddynamic bioprocess conditions
Green fluorescent protein (GFP)
Microbial stress
Phenotypic noise

Access to Document

10.1002/biot.201400537

Cite this

Phenotypic variability in bioprocessing conditions can be tracked on the basis of on-line flow cytometry and fits to a scaling law. / Baert, Jonathan; Kinet, Romain; Brognaux, Alison; Delepierre, Anissa; Telek, Samuel; Sørensen, Søren Johannes ; Riber, Leise; Fickers, Patrick; Delvigne, Frank.

In: Biotechnology Journal, Vol. 10, No. 8, 2015, p. 1316-1325.

Research output: Contribution to journal › Journal article › Research › peer-review

Baert, Jonathan ; Kinet, Romain ; Brognaux, Alison ; Delepierre, Anissa ; Telek, Samuel ; Sørensen, Søren Johannes ; Riber, Leise ; Fickers, Patrick ; Delvigne, Frank. / Phenotypic variability in bioprocessing conditions can be tracked on the basis of on-line flow cytometry and fits to a scaling law. In: Biotechnology Journal. 2015 ; Vol. 10, No. 8. pp. 1316-1325.

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AU - Telek, Samuel

AU - Sørensen, Søren Johannes

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