ArticleDigital discovery2023
Teaching old presumptive tests new digital tricks with computer vision for forensic applications.
Article in Digital discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- When chemistry is too colourful: gamut clipping in 8-bit sRGB risks misinterpretation of camera-based chemical analysis.Digital discovery · 2026Article
- 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
- RGB color correction and gamut limitations in smartphone-based kinetic analysis of chemical reactions.Analytical and bioanalytical chemistry · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Presumptive (or 'spot') tests have served forensic scientists, law enforcement, and legal practitioners for over a hundred years. Yet, the intended design of such tests, enabling quick identification of drugs by-eye, also hides their full potential. Here, we report the development and application of time-resolved imaging methods of reactions attending spot tests for amphetamines, barbiturates, and benzodiazepines. Analysis of the reaction videos helps distinguish drugs within the same structural class that, by-eye, are judged to give the same qualitative spot test result. It is envisaged that application of these results will bridge the existing suite of field and lab-based confirmatory forensic tests, and support a broader range of colorimetric sensing technologies.
Identifiers
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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.