Evidence map›Paper›PMID 29764434›Full record

ArticleMicrobial cell factories2018

Real-time monitoring of the budding index in Saccharomyces cerevisiae batch cultivations with in situ microscopy.

Anna-Maria Marbà-Ardébol, Jörn Emmerich, Michael Muthig, Peter Neubauer, Stefan Junne

Abstract read
In one paragraph

Article in Microbial cell factories, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Adaptation ofMicroorganisms · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Application ofSensors (Basel, Switzerland) · 2021
    Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anna-Maria Marbà-ArdébolDepartment of Biotechnology, Technische Universität Berlin, Ackerstrasse 76, ACK 24, 13355, Berlin, Germany.
Jörn EmmerichSOPAT GmbH, Boyenstr. 41, 10115, Berlin, Germany.
Michael MuthigSOPAT GmbH, Boyenstr. 41, 10115, Berlin, Germany.
Peter NeubauerDepartment of Biotechnology, Technische Universität Berlin, Ackerstrasse 76, ACK 24, 13355, Berlin, Germany.
Stefan JunneDepartment of Biotechnology, Technische Universität Berlin, Ackerstrasse 76, ACK 24, 13355, Berlin, Germany. stefan.junne@tu-berlin.de.ORCID http://orcid.org/0000-0001-6185-2627

Funding

German Federal Ministry of Economics and Energy within the framework program ZIM-Koop, project "Smart Process Inspection" ZF 4184201CR5
6 · The paper itself

Abstract

backgroundThe morphology of yeast cells changes during budding, depending on the growth rate and cultivation conditions. A photo-optical microscope was adapted and used to observe such morphological changes of individual cells directly in the cell suspension. In order to obtain statistically representative samples of the population without the influence of sampling, in situ microscopy (ISM) was applied in the different phases of a Saccharomyces cerevisiae batch cultivation. The real-time measurement was performed by coupling a photo-optical probe to an automated image analysis based on a neural network approach.

resultsAutomatic cell recognition and classification of budding and non-budding cells was conducted successfully. Deviations between automated and manual counting were considerably low. A differentiation of growth activity across all process stages of a batch cultivation in complex media became feasible. An increased homogeneity among the population during the growth phase was well observable. At growth retardation, the portion of smaller cells increased due to a reduced bud formation. The maturation state of the cells was monitored by determining the budding index as a ratio between the number of cells, which were detected with buds and the total number of cells. A linear correlation between the budding index as monitored with ISM and the growth rate was found.

conclusionIt is shown that ISM is a meaningful analytical tool, as the budding index can provide valuable information about the growth activity of a yeast cell, e.g. in seed breeding or during any other cultivation process. The determination of the single-cell size and shape distributions provided information on the morphological heterogeneity among the populations. The ability to track changes in cell morphology directly on line enables new perspectives for monitoring and control, both in process development and on a production scale.

Indexed as

MicroscopySaccharomyces cerevisiaeBudding indexCell sizeGrowth activityImage detectionIn situ microscopyMonitoringMorphologySaccharomyces cerevisiae

Identifiers

PMID29764434
PMCPMC5952372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.