Jump to main content
Jump to site search
PLANNED MAINTENANCE Close the message box

Scheduled maintenance work on Wednesday 27th March 2019 from 11:00 AM to 1:00 PM (GMT).

During this time our website performance may be temporarily affected. We apologise for any inconvenience this might cause and thank you for your patience.


Issue 6, 2019
Previous Article Next Article

Cell phone based colorimetric analysis for point-of-care settings

Author affiliations

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.

Graphical abstract: Cell phone based colorimetric analysis for point-of-care settings

Back to tab navigation

Supplementary files

Publication details

The article was received on 31 Dec 2018, accepted on 16 Jan 2019 and first published on 19 Jan 2019


Article type: Paper
DOI: 10.1039/C8AN02521E
Citation: Analyst, 2019,144, 1935-1947

  •   Request permissions

    Cell phone based colorimetric analysis for point-of-care settings

    B. Coleman, C. Coarsey and W. Asghar, Analyst, 2019, 144, 1935
    DOI: 10.1039/C8AN02521E

Search articles by author

Spotlight

Advertisements