Evidence map›Paper›PMID 33676585›Full record

ArticleFungal biology and biotechnology2021

A fully automated pipeline for the dynamic at-line morphology analysis of microscale Aspergillus cultivation.

Roman Jansen, Kira Küsters, Holger Morschett, Wolfgang Wiechert, Marco Oldiges

Abstract read
In one paragraph

Article in Fungal biology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Transcriptional Activation of Biosynthetic Gene Clusters in Filamentous Fungi.Frontiers in bioengineering and biotechnology · 2022
    Review
  3. Article
  4. Article
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.

Roman Jansen *Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, Jülich, Germany.
Kira Küsters *Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, Jülich, Germany.
Holger Morschett *Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, Jülich, Germany.
Wolfgang WiechertInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, Jülich, Germany.
Marco OldigesInstitute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, IBG-1: Biotechnology, Jülich, Germany. m.oldiges@fz-juelich.de.ORCID http://orcid.org/0000-0003-0704-5597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMorphology, being one of the key factors influencing productivity of filamentous fungi, is of great interest during bioprocess development. With increasing demand of high-throughput phenotyping technologies for fungi due to the emergence of novel time-efficient genetic engineering technologies, workflows for automated liquid handling combined with high-throughput morphology analysis have to be developed.

resultsIn this study, a protocol allowing for 48 parallel microbioreactor cultivations of Aspergillus carbonarius with non-invasive online signals of backscatter and dissolved oxygen was established. To handle the increased cultivation throughput, the utilized microbioreactor is integrated into a liquid handling platform. During cultivation of filamentous fungi, cell suspensions result in either viscous broths or form pellets with varying size throughout the process. Therefore, tailor-made liquid handling parameters such as aspiration/dispense height, velocity and mixing steps were optimized and validated. Development and utilization of a novel injection station enabled a workflow, where biomass samples are automatically transferred into a flow through chamber fixed under a light microscope. In combination with an automated image analysis concept, this enabled an automated morphology analysis pipeline. The workflow was tested in a first application study, where the projected biomass area was determined at two different cultivation temperatures and compared to the microbioreactor online signals.

conclusionsA novel and robust workflow starting from microbioreactor cultivation, automated sample harvest and processing via liquid handling robots up to automated morphology analysis was developed. This protocol enables the determination of projected biomass areas for filamentous fungi in an automated and high-throughput manner. This measurement of morphology can be applied to describe overall pellet size distribution and heterogeneity.

Indexed as

Aspergillus carbonariusAt‐line microscopyLaboratory automationMicrobioreactorMicrotiter plate cultivationMorphology analysisProjected biomass area

Identifiers

PMID33676585
PMCPMC7937226

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Registered trials

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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.