Literature DB >> 19396466

A review of non-invasive optical-based image analysis systems for continuous bioprocess monitoring.

Tim Höpfner1, Arne Bluma, Guido Rudolph, Patrick Lindner, Thomas Scheper.   

Abstract

To observe and control cultivation processes, optical sensors are used increasingly. Important variables for controlling such processes are cell count, cell size distribution and the morphology of cells. Among turbidity measurement methods, imaging procedures are applied for determining these process values. A disadvantage of most previously developed imaging procedures is that they are only available offline, which requires sampling. On the other hand, available imaging inline probes can only deliver a limited number of process values so far. This contribution gives an overview of optical procedures for the inline determination of cell count, cell size distribution and other variables. In particular, by in situ microscopy, an imaging procedure will be described, which allows the determination of direct and non-direct cell variables in real time without sampling.

Mesh:

Year:  2009        PMID: 19396466     DOI: 10.1007/s00449-009-0319-8

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  8 in total

1.  Comparison of Dialysis- and Solvatofluorochromism-Based Methods to Determine Drug Release Rates from Polymer Nanoassemblies.

Authors:  Derek Reichel; Younsoo Bae
Journal:  Pharm Res       Date:  2016-11-21       Impact factor: 4.200

Review 2.  Methods for quantification of growth and productivity in anaerobic microbiology and biotechnology.

Authors:  Lisa-Maria Mauerhofer; Patricia Pappenreiter; Christian Paulik; Arne H Seifert; Sébastien Bernacchi; Simon K-M R Rittmann
Journal:  Folia Microbiol (Praha)       Date:  2018-11-16       Impact factor: 2.099

3.  Real-time monitoring of cell viability and cell density on the basis of a three dimensional optical reflectance method (3D-ORM): investigation of the effect of sub-lethal and lethal injuries.

Authors:  Alison Brognaux; Jörg Bugge; Friedel H Schwartz; Philippe Thonart; Samuel Telek; Frank Delvigne
Journal:  J Ind Microbiol Biotechnol       Date:  2013-04-21       Impact factor: 3.346

4.  On-chip continuous monitoring of motile microorganisms on an ePetri platform.

Authors:  Seung Ah Lee; Guoan Zheng; Nandini Mukherjee; Changhuei Yang
Journal:  Lab Chip       Date:  2012-04-20       Impact factor: 6.799

5.  Single bacteria movement tracking by online microscopy--a proof of concept study.

Authors:  Andreas Ziegler; Daniel Schock-Kusch; Dominik Bopp; Sandra Dounia; Matthias Rädle; Ulf Stahl
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

6.  Monitoring key parameters in bioprocesses using near-infrared technology.

Authors:  Elena Tamburini; Maria Gabriella Marchetti; Paola Pedrini
Journal:  Sensors (Basel)       Date:  2014-10-13       Impact factor: 3.576

7.  Light-induced gene expression with photocaged IPTG for induction profiling in a high-throughput screening system.

Authors:  Georg Wandrey; Claus Bier; Dennis Binder; Kyra Hoffmann; Karl-Erich Jaeger; Jörg Pietruszka; Thomas Drepper; Jochen Büchs
Journal:  Microb Cell Fact       Date:  2016-04-23       Impact factor: 5.328

8.  Estimation of Chlamydomonas reinhardtii biomass concentration from chord length distribution data.

Authors:  Patricio Lopez-Exposito; Angeles Blanco Suarez; Carlos Negro
Journal:  J Appl Phycol       Date:  2015-11-09       Impact factor: 3.215

  8 in total

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