ArticleThe Analyst2019
Cell phone based colorimetric analysis for point-of-care settings.
Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture.PloS one · 2025Article
- Inclusive and Accurate Clinical Diagnostics Using Intelligent Computation and Smartphone Imaging.ACS sensors · 2024Article
- Modeling and optimization of the ratio of fluorophores: a step towards enhancing the sensitivity of ratiometric probes.Mikrochimica acta · 2024Article
- Microfluidic Devices for HIV Diagnosis and Monitoring at Point-of-Care (POC) Settings.Biosensors · 2022Review
- Smartphone-Based Multiplexed Biosensing Tools for Health Monitoring.Biosensors · 2022Review
- Assessment of a Smartphone-Based Loop-Mediated Isothermal Amplification Assay for Detection of SARS-CoV-2 and Influenza Viruses.JAMA network open · 2022Article
- Smartphone-based sickle cell disease detection and monitoring for point-of-care settings.Biosensors & bioelectronics · 2020Article
- Enhancement of the Peroxidase-Like Activity of Iodine-Capped Gold Nanoparticles for the Colorimetric Detection of Biothiols.Biosensors · 2020Article
- Magnetic Particles: Their Applications from Sample Preparations to Biosensing Platforms.Micromachines · 2020Review
- Development of a Flow-Free Automated Colorimetric Detection Assay Integrated with Smartphone for Zika NS1.Diagnostics (Basel, Switzerland) · 2020Article
- Total Iron Measurement in Human Serum With a Novel Smartphone-Based Assay.IEEE journal of translational engineering in health and medicine · 2020Article
- Microfluidic Chip for Detection of Fungal Infections.ACS omega · 2019Article
- Development of a Flow-Free Magnetic Actuation Platform for an Automated Microfluidic ELISA.RSC advances · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Cell phones show considerable promise for point-of-care (POC) diagnostic procedures because they are accessible, connected, and computationally powerful. Cell phone image processing methods are being developed for the detection and quantification of a wide range of targets, employing methods from microscopy to fluorescence techniques. However, most of the lab-based biological and biochemical assays still lack a robust and repeatable cell phone analogue. Existing solutions require external smartphone hardware to obtain quantitative results, imposing a design tradeoff between accessibility and accuracy. Here, we develop a cell phone imaging algorithm that enables analysis of assays that would typically be evaluated via spectroscopy. The developed technique uses the saturation parameter of hue-saturation-value color space to enable POC diagnosis. Through the analysis of over 10 000 images, we show that the saturation method consistently outperforms existing algorithms under a wide range of operating field conditions. The performance improvement is also proven analytically via the mathematic relationship between the saturation method and existing techniques. The method presented here is a step forward towards the development of POC diagnostics by reducing the required equipment, improving the limit of detection (LOD), and increasing the precision of quantitative results.
Indexed as
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.