Evidence map›Paper›PMID 41477110›Full record

ArticlePNAS nexus2025

Open-source cell culture automation system with integrated cell counting for passaging microplate cultures.

Greg Courville, Shivanshi Vaid, Alexis Toruño, Paul Lebel, Joana P Cabrera, Preethi Raghavan, Axel Jacobsen, George R R Bell, Manuel D Leonetti, Rafael Gómez-Sjöberg

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Greg CourvilleChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0002-6396-9017
Shivanshi VaidChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.
Alexis ToruñoChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.
Paul LebelChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0003-4569-1493
Joana P CabreraChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.
Preethi RaghavanChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.
Axel JacobsenChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0009-0006-5056-3065
George R R BellChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0002-1916-8351
Manuel D LeonettiChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0002-4881-405X
Rafael Gómez-SjöbergChan Zuckerberg Biohub San Francisco, 499 Illinois St, San Francisco, CA 94158, USA.ORCID https://orcid.org/0000-0001-8017-9669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue culture in 96-well microplates is conventionally a tedious, highly manual process sensitive to individual technique and experimenter error. Here, we describe the Automated Cell Culture Splitter, a system for passaging plates of adherent or suspension cells, for routine culture maintenance or specialized applications such as seeding plates for microscopy. The system is built around the Opentrons OT-2 liquid handling robot and incorporates a novel on-deck imaging-based cell counter which allows it to compensate for density disparities across a source plate and control the number of cells seeded on a per-well basis. We find this solution can cut hands-on time by 61% and the results compare favorably to our existing manual cell culture processes in terms of both seeding density precision and biological outcomes, achieving a control of seeding density with a well-to-well coefficient of variation under 11%. The system is designed to be adaptable and an accessible entry point into automation for high-throughput cell culture; to that end, all of the source code and hardware designs are released under open source licenses.

Identifiers

PMID41477110
PMCPMC12750449

What OpenQuestion holds

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LicenceCC BY
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.