ArticleChemical & biomedical imaging2025
Gamma Correction and Color Space Transformations for Quantitative Analysis of Electrochemiluminescence Images Using Smartphone Cameras.
Article in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
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Who cites it
2 citing papers in PubMed.
- Versatile Electrochemiluminescence Imaging Platform for Multiplexed Biosensing and Point-of-Care Application.Chemical & biomedical imaging · 2026Article
- All-in-One Sustainable Thread Biosensor for Chemiluminescence Smartphone Detection of Lactate in Sweat.Biosensors · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative imaging of luminescent signals, ranging from electrochemiluminescence (ECL) and chemiluminescence to colorimetric assays, is increasingly performed using consumer-grade digital cameras and smartphones. However, device-dependent variability, nonlinear signal encoding, and the absence of standardized workflows hinder reproducibility and quantification accuracy. This work presents a generalized methodology for robust signal quantification in luminescent systems using digital imaging, with ECL as a model case. By combining synchronized electrochemical control, manual optimization of imaging parameters, gamma correction, and color space transformations, accurate device-independent analysis is enabled. Using Ru-(bpy)
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Registered trials
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