Literature DB >> 20926279

HDR imaging evaluation of a NT-proBNP test with a mobile phone.

P Preechaburana1, S Macken, A Suska, D Filippini.   

Abstract

The determination of NT-proBNP levels is key for the monitoring of patients with diagnosed heart failure and it is a routine measurement typically performed at health care centers, which would benefit from decentralized alternatives. Here we investigate the quantitative evaluation of a well-established NT-proBNP test using a standard mobile phone (Nokia 6720) as measuring platform rather than a dedicated instrument. A Java ME software developed for this application controls the illumination and imaging of the proBNP test under defined time intervals, which enables the composition of multi-exposure sets that are processed as high dynamic range (HDR) images for contrast enhancement. The results show that HDR processing significantly increases the sensitivity and resolution of the technique achieving a performance within the diagnostics range. These results demonstrate the feasibility to exploit a ubiquitous device to decentralize the evaluation of a routine test and identify key processing alternatives to bring the performance of such systems within the diagnostics range. Copyright Â
© 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20926279     DOI: 10.1016/j.bios.2010.09.015

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

1.  Embedded adaptive optics for ubiquitous lab-on-a-chip readout on intact cell phones.

Authors:  Pakorn Preechaburana; Anke Suska; Daniel Filippini
Journal:  Sensors (Basel)       Date:  2012-06-26       Impact factor: 3.576

2.  The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications.

Authors:  Chu Qin; Lin Tao; Yik Hui Phang; Cheng Zhang; Shang Ying Chen; Peng Zhang; Ying Tan; Yu Yang Jiang; Yu Zong Chen
Journal:  Sci Rep       Date:  2015-12-08       Impact factor: 4.379

3.  Significant Sensitivity Improvement for Camera-Based Lateral Flow Immunoassay Readers.

Authors:  Lalita Saisin; Ratthasart Amarit; Armote Somboonkaew; Oraprapai Gajanandana; Orawan Himananto; Boonsong Sutapun
Journal:  Sensors (Basel)       Date:  2018-11-19       Impact factor: 3.576

4.  Analyte Quantity Detection from Lateral Flow Assay Using a Smartphone.

Authors:  Kamrul H Foysal; Sung Eun Seo; Min Ju Kim; Oh Seok Kwon; Jo Woon Chong
Journal:  Sensors (Basel)       Date:  2019-11-05       Impact factor: 3.576

  4 in total

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