ReviewOrganic process research & development2022
Computer Vision for Kinetic Analysis of Lab- and Process-Scale Mixing Phenomena.
Review in Organic process research & development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Computer Vision Enables Monitoring and Kinetic Analysis of Structurally Diverse Carbon Monoxide Surrogates.Angewandte Chemie (International ed. in English) · 2026Article
- From Eyes to Cameras to Kinetics: Computer Vision for Chemical Process Monitoring.Accounts of chemical research · 2026Article
- Computer Vision Helps Experimentally Monitor Mixing Effects in Deep Eutectic Solvents.ACS sustainable chemistry & engineering · 2025Article
- Presumptive Tests for Xylazine-A Computer Vision Approach.Analytical science advances · 2025Article
- Parallel and High Throughput Reaction Monitoring with Computer Vision.Angewandte Chemie (International ed. in English) · 2025Article
- A Computer Vision Approach toward Verifying CFD Models of Stirred Tank Reactors.Organic process research & development · 2024Article
- Keeping an "eye" on the experiment: computer vision for real-time monitoring and control.Chemical science · 2024Article
- Computer vision as a new paradigm for monitoring of solution and solid phase peptide synthesis.Chemical science · 2023Article
- Teaching old presumptive tests new digital tricks with computer vision for forensic applications.Digital discovery · 2023Article
- Coaxial Dielectric Spectroscopy as an In-Line Process Analytical Technique for Reaction Monitoring.Organic process research & development · 2023Article
- Computer vision for non-contact monitoring of catalyst degradation and product formation kinetics.Chemical science · 2023Article
- Determining Phase Separation Dynamics with an Automated Image Processing Algorithm.Organic process research & development · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
A software platform for the computer vision-enabled analysis of mixing phenomena of relevance to process scale-up is described. By bringing new and known time-resolved mixing metrics under one platform, hitherto unavailable comparisons of pixel-derived mixing metrics are exemplified across non-chemical and chemical processes. The analytical methods described are applicable using any camera and across an appreciable range of reactor scales, from development through to process scale-up. A case study in nucleophilic aromatic substitution run on a 5 L scale in a stirred tank reactor shows how camera and offline concentration analyses can be correlated. In some cases, it can be shown that camera data hold the power to predict reaction progress.
Identifiers
What OpenQuestion holds
Registered trials
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.