Evidence map›Paper›PMID 35637179›Full record

ArticleNature communications2022

Open-source personal pipetting robots with live-cell incubation and microscopy compatibility.

Philip Dettinger, Tobias Kull, Geethika Arekatla, Nouraiz Ahmed, Yang Zhang, Florin Schneiter, Arne Wehling, Daniel Schirmacher, Shunsuke Kawamura, Dirk Loeffler and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  9. COMethods and protocols · 2024
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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

11 authors.

Philip DettingerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. philip.dettinger@unibas.ch.
Tobias KullDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Geethika ArekatlaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Nouraiz AhmedDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Yang ZhangDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Florin SchneiterDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Arne WehlingDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0002-0845-626X
Daniel SchirmacherDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0001-8788-4811
Shunsuke KawamuraDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Dirk LoefflerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0001-9870-0088
Timm SchroederDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. timm.schroeder@bsse.ethz.ch.ORCID http://orcid.org/0000-0001-9320-0252

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid handling robots have the potential to automate many procedures in life sciences. However, they are not in widespread use in academic settings, where funding, space and maintenance specialists are usually limiting. In addition, current robots require lengthy programming by specialists and are incompatible with most academic laboratories with constantly changing small-scale projects. Here, we present the Pipetting Helper Imaging Lid (PHIL), an inexpensive, small, open-source personal liquid handling robot. It is designed for inexperienced users, with self-production from cheap commercial and 3D-printable components and custom control software. PHIL successfully automates pipetting (incl. aspiration) for e.g. tissue immunostainings and stimulations of live stem and progenitor cells during time-lapse microscopy using 3D printed peristaltic pumps. PHIL is cheap enough to put a personal pipetting robot within the reach of most labs and enables users without programming skills to easily automate a large range of experiments.

Indexed as

Biological Science DisciplinesRoboticsMicroscopySoftware

Identifiers

PMID35637179
PMCPMC9151679

What OpenQuestion holds

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LicenceCC BY
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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.