Evidence map›Paper›PMID 39166494›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Parallel and High Throughput Reaction Monitoring with Computer Vision.

H Barrington, T J D McCabe, K Donnachie, Calum Fyfe, A McFall, M Gladkikh, J McGuire, C Yan, M Reid

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Utilizing Similarity Measures to Map Chemical Reactivity.Angewandte Chemie (International ed. in English) · 2026
    Article
  5. Article
  6. Accelerated Porosity Screening Using a Multichannel Colorimetric Array.Angewandte Chemie (International ed. in English) · 2025
    Article
  7. Parallel and High Throughput Reaction Monitoring with Computer Vision.Angewandte Chemie (International ed. in English) · 2025
    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

9 authors.

H BarringtonDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
T J D McCabeDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
K DonnachieDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
Calum FyfeDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
A McFallDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
M GladkikhDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
J McGuireDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
C YanDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.
M ReidDepartment of Pure & Applied Chemistry, University of Strathclyde, Glasgow, UK.ORCID https://orcid.org/0000-0003-4394-3132

Funding

MRF MR/T043458/1
6 · The paper itself

Abstract

We report the development and applications of a computer vision based reaction monitoring method for parallel and high throughput experimentation (HTE). Whereas previous efforts reported methods to extract bulk kinetics of one reaction from one video, this new approach enables one video to capture bulk kinetics of multiple reactions running in parallel. Case studies, in and beyond well-plate high throughput settings, are described. Analysis of parallel dye-quenching hydroxylations, DMAP-catalysed esterification, solid-liquid sedimentation dynamics, metal catalyst degradation, and biologically-relevant sugar-mediated nitro reduction reactions have each provided insight into the scope and limitations of camera-enabled high throughput kinetics as a means of widening known analytical bottlenecks in HTE for reaction discovery, mechanistic understanding, and optimisation. It is envisaged that the nature of the multi-reaction time-resolved datasets made available by this analytical approach will later serve a broad range of downstream efforts in machine learning approaches to exploring chemical space.

Indexed as

Computer VisionHigh throughputKineticsReaction monitoring

Identifiers

PMID39166494
PMCPMC11701362

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.