Evidence map›Paper›PMID 42130015›Full record

ArticleAccounts of chemical research2026

From Eyes to Cameras to Kinetics: Computer Vision for Chemical Process Monitoring.

Henry Barrington, Kristin Donnachie, Calum Fyfe, Timothy J D McCabe, Cameron Ward, Marc Reid

Abstract read
In one paragraph

Article in Accounts of chemical research, 2026. 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

6 authors.

Henry BarringtonDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.
Kristin DonnachieDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.ORCID 0009-0009-8917-1757
Calum FyfeDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.
Timothy J D McCabeDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.ORCID 0009-0002-2524-0513
Cameron WardDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.
Marc ReidDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XW, U.K.ORCID 0000-0003-4394-3132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ConspectusChemical manufacturing is dominated by color changes that offer quantifiable insights into a huge variety of transformations. Yet, despite the vast array of chemical phenomena we experience by eye, few reaction monitoring tools are designed to measure what we see. This Account describes our journey developing computer vision to turn any camera into a chemistry-agnostic reaction monitoring tool able to transform everyday visual observations into quantitative kinetic data. Chemists routinely record color changes, precipitation, and mixing patterns without systematically leveraging this information. Our work emerged from an idea inspired by early career resource constraints: if visual changes can be described qualitatively, they can be quantified digitally, and cheaply. This insight, catalyzed by Raspberry Pi camera experiments and a serendipitous industrial need, led us to develop computer vision methods that enable bulk process monitoring across scales. Central to our contributions is the development of

Identifiers

PMID42130015
PMCPMC13235424

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.