Evidence map›Paper›PMID 40467566›Full record

ArticleNature communications2025

IvoryOS: an interoperable web interface for orchestrating Python-based self-driving laboratories.

Wenyu Zhang, Lucy Hao, Veronica Lai, Ryan Corkery, Jacob Jessiman, Jiayu Zhang, Junliang Liu, Yusuke Sato, Maria Politi, Matthew E Reish and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

17 authors.

Wenyu ZhangDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada. ivoryzhang@chem.ubc.ca.ORCID http://orcid.org/0000-0002-1924-6591
Lucy HaoDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Veronica LaiTelescope Innovations Corp, Vancouver, BC, Canada.
Ryan CorkeryTelescope Innovations Corp, Vancouver, BC, Canada.
Jacob JessimanDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Jiayu ZhangDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Junliang LiuTelescope Innovations Corp, Vancouver, BC, Canada.
Yusuke SatoTelescope Innovations Corp, Vancouver, BC, Canada.
Maria PolitiDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Matthew E ReishDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Rebekah GreenwoodDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Noah DepnerDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Jiyoon MinDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0009-0004-5109-426X
Rama El-KhawaldehDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.
Paloma PrietoDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-7700-2085
Ekaterina TrushinaDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0003-4119-158X
Jason E HeinDepartment of Chemistry, The University of British Columbia, Vancouver, BC, Canada. jhein@chem.ubc.ca.ORCID http://orcid.org/0000-0002-4345-3005

Funding

Canada First Research Excellence Fund (Fonds d'excellence en recherche Apogée Canada) CFREF-2022-00042Canada Foundation for Innovation (Fondation canadienne pour l'innovation) CFI-44843
6 · The paper itself

Abstract

Self-driving laboratories (SDLs), powered by robotics, automation and artificial intelligence, accelerate scientific discoveries through autonomous experimentation. However, their adoption and transferability are limited by the lack of standardized software across diverse SDLs. In this work, we introduce IvoryOS - an open-source orchestrator that automatically generates web interfaces for Python-based SDLs. It ensures interoperability by dynamically updating the user interfaces with the plugged components and their functionalities. The interfaces enable users to directly control SDLs and design workflows through a drag-and-drop user interface. Additionally, the workflow manager provides no-code configuration for iterative execution, supporting both human-in-the-loop and closed-loop experimentation. We demonstrate the integration of IvoryOS with six SDLs across two institutes, showcasing its adaptability and utility across platforms at various development stages. The plug-and-play and low-code feature of IvoryOS addresses the rapidly evolving demands of SDL development and significantly lowers the barrier to entry for building and managing SDLs.

Identifiers

PMID40467566
PMCPMC12137583

What OpenQuestion holds

Textmetadata
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.