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

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 mi...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Analyst (London) Ročník 144; číslo 6; s. 1935
Hlavní autori: Coleman, Benjamin, Coarsey, Chad, Asghar, Waseem
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England 21.03.2019
Predmet:
Algorithms
Cell Phone
Colorimetry - methods
HIV - immunology
HIV Core Protein p24 - immunology
HIV Infections - diagnosis
HIV Infections - immunology
HIV Infections - virology
Humans
Image Processing, Computer-Assisted - instrumentation
Limit of Detection
Optical Imaging - methods
Point-of-Care Systems
ISSN:1364-5528, 1364-5528
On-line prístup:Zistit podrobnosti o prístupe
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1364-5528
1364-5528
DOI:10.1039/c8an02521e