Evidence map›Paper›PMID 39994271›Full record

ArticleScientific reports2025

Development of the autonomous lab system to support biotechnology research.

Keiji Fushimi, Yusuke Nakai, Akiko Nishi, Ryo Suzuki, Masahiro Ikegami, Risa Nimura, Taichi Tomono, Ryota Hidese, Hisashi Yasueda, Yusuke Tagawa and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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. Review
  2. 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

11 authors.

Keiji Fushimi *Graduate School of Science, Innovation and Technology, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan.
Yusuke Nakai *Technology Research Laboratory, Shimadzu Corporation, 3-9-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0237, Japan.
Akiko NishiGraduate School of Science, Innovation and Technology, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan.
Ryo SuzukiGraduate School of Science, Innovation and Technology, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan.
Masahiro IkegamiTechnology Research Laboratory, Shimadzu Corporation, 3-9-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0237, Japan.
Risa NimuraTechnology Research Laboratory, Shimadzu Corporation, 3-9-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0237, Japan.
Taichi TomonoTechnology Research Laboratory, Shimadzu Corporation, 3-9-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0237, Japan.
Ryota HideseEngineering Biology Research Center, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657- 8501, Japan.
Hisashi YasuedaGraduate School of Science, Innovation and Technology, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan.
Yusuke TagawaTechnology Research Laboratory, Shimadzu Corporation, 3-9-4 Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0237, Japan. y-tagawa@shimadzu.co.jp.
Tomohisa HasunumaGraduate School of Science, Innovation and Technology, Kobe University, 1-1 Rokkodai, Nada, Kobe, 657-8501, Japan. hasunuma@port.kobe-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we developed the autonomous lab (ANL), which is a system based on robotics and artificial intelligence (AI) to conduct biotechnology experiments and formulate scientific hypotheses. This system was designed with modular devices and Bayesian optimization algorithms, allowing it to effectively run a closed loop from culturing to preprocessing, measurement, analysis, and hypothesis formulation. As a case study, we used the ANL to optimize medium conditions for a recombinant Escherichia coli strain, which overproduces glutamic acid. The results demonstrated that our autonomous system successfully replicated the experimental techniques, such as sample preparation and data measurement, and improved both the cell growth rate and the maximum cell growth. The ANL offers a versatile and scalable solution for various applications in the field of bioproduction, with the potential to improve efficiency and reliability of experimental processes in the future.

Indexed as

Artificial IntelligenceBiotechnologyRoboticsAlgorithmsBayes TheoremEscherichia coliGlutamic AcidGlutamic AcidAutonomous experimentBayesian optimizationBioproductionCell growthFlexible robotic systemMedium optimization

Identifiers

PMID39994271
PMCPMC11850614

What OpenQuestion holds

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Registered trials

None linked

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.