Evidence map›Paper›PMID 33269985›Full record

ArticleSLAS technology2021

A Variable Scheduling Maintenance Culture Platform for Mammalian Cells.

Koji Ochiai, Naohiro Motozawa, Motoki Terada, Takaaki Horinouchi, Tomohiro Masuda, Taku Kudo, Motohisa Kamei, Akitaka Tsujikawa, Kenji Matsukuma, Tohru Natsume and 3 more

Open access · hybridAbstract read
In one paragraph

Article in SLAS technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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  4. Review
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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

13 authors at 3 institutions in 1 country.

Koji OchiaiLaboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.
Naohiro MotozawaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.
Motoki TeradaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.
Takaaki HorinouchiLaboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.ORCID 0000-0001-9141-9103
Tomohiro MasudaLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.
Taku KudoRobotic Biology Institute Inc., Koto-ku, Tokyo, Japan.
Motohisa KameiRobotic Biology Institute Inc., Koto-ku, Tokyo, Japan.
Akitaka TsujikawaDepartment of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Sakyo-ku, Kyoto, Japan.
Kenji MatsukumaRobotic Biology Institute Inc., Koto-ku, Tokyo, Japan.
Tohru NatsumeRobotic Biology Institute Inc., Koto-ku, Tokyo, Japan.
Genki N KandaLaboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.ORCID 0000-0002-6372-241X
Masayo TakahashiLaboratory for Retinal Regeneration, RIKEN Center for Biosystems Dynamics Research, Chuo-ku, Kobe, Hyogo, Japan.
Koichi TakahashiLaboratory for Biologically Inspired Computing, RIKEN Center for Biosystems Dynamics Research, Suita, Osaka, Japan.ORCID 0000-0001-9141-9103
RIKEN Center for Biosystems Dynamics Research · JPSystems Biology Institute · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell culturing is a basic experimental technique in cell biology and medical science. However, culturing high-quality cells with a high degree of reproducibility relies heavily on expert skills and tacit knowledge, and it is not straightforward to scale the production process due to the education bottleneck. Although many automated culture systems have been developed and a few have succeeded in mass production environments, very few robots are permissive of frequent protocol changes, which are often required in basic research environments. LabDroid is a general-purpose humanoid robot with two arms that performs experiments using the same tools as humans. Combining our newly developed AI software with LabDroid, we developed a variable scheduling system that continuously produces subcultures of cell lines without human intervention. The system periodically observes the cells on plates with a microscope, predicts the cell growth curve by processing cell images, and decides the best times for passage. We have succeeded in developing a system that maintains the cultures of two HEK293A cell plates with no human intervention for 192 h.

Indexed as

MicroscopySoftwareAnimalsCell LineCell ProliferationHumansReproducibility of Resultsgrowth predictionLabDroidmammalian cell culturevariable scheduling automation

Identifiers

PMID33269985
PMCPMC7985857
OpenAlexW3108817984

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.