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Sickle cell detection using a smartphone
Sickle cell disease affects 25% of people living in Central and West Africa and, if left undiagnosed, can cause life threatening “silent” strokes and lifelong damage. However, ubiquitous testing procedures have yet to be implemented in these areas, necessitating a simple, rapid, and accurate testing...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615037/ https://www.ncbi.nlm.nih.gov/pubmed/26492382 http://dx.doi.org/10.1038/srep15022 |
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author | Knowlton, S. M. Sencan, I. Aytar, Y. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. |
author_facet | Knowlton, S. M. Sencan, I. Aytar, Y. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. |
author_sort | Knowlton, S. M. |
collection | PubMed |
description | Sickle cell disease affects 25% of people living in Central and West Africa and, if left undiagnosed, can cause life threatening “silent” strokes and lifelong damage. However, ubiquitous testing procedures have yet to be implemented in these areas, necessitating a simple, rapid, and accurate testing platform to diagnose sickle cell disease. Here, we present a label-free, sensitive, and specific testing platform using only a small blood sample (<1 μl) based on the higher density of sickle red blood cells under deoxygenated conditions. Testing is performed with a lightweight and compact 3D-printed attachment installed on a commercial smartphone. This attachment includes an LED to illuminate the sample, an optical lens to magnify the image, and two permanent magnets for magnetic levitation of red blood cells. The sample is suspended in a paramagnetic medium with sodium metabisulfite and loaded in a microcapillary tube that is inserted between the magnets. Red blood cells are levitated in the magnetic field based on equilibrium between the magnetic and buoyancy forces acting on the cells. Using this approach, we were able to distinguish between the levitation patterns of sickle versus control red blood cells based on their degree of confinement. |
format | Online Article Text |
id | pubmed-4615037 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46150372015-10-29 Sickle cell detection using a smartphone Knowlton, S. M. Sencan, I. Aytar, Y. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Sci Rep Article Sickle cell disease affects 25% of people living in Central and West Africa and, if left undiagnosed, can cause life threatening “silent” strokes and lifelong damage. However, ubiquitous testing procedures have yet to be implemented in these areas, necessitating a simple, rapid, and accurate testing platform to diagnose sickle cell disease. Here, we present a label-free, sensitive, and specific testing platform using only a small blood sample (<1 μl) based on the higher density of sickle red blood cells under deoxygenated conditions. Testing is performed with a lightweight and compact 3D-printed attachment installed on a commercial smartphone. This attachment includes an LED to illuminate the sample, an optical lens to magnify the image, and two permanent magnets for magnetic levitation of red blood cells. The sample is suspended in a paramagnetic medium with sodium metabisulfite and loaded in a microcapillary tube that is inserted between the magnets. Red blood cells are levitated in the magnetic field based on equilibrium between the magnetic and buoyancy forces acting on the cells. Using this approach, we were able to distinguish between the levitation patterns of sickle versus control red blood cells based on their degree of confinement. Nature Publishing Group 2015-10-22 /pmc/articles/PMC4615037/ /pubmed/26492382 http://dx.doi.org/10.1038/srep15022 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Knowlton, S. M. Sencan, I. Aytar, Y. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Sickle cell detection using a smartphone |
title | Sickle cell detection using a smartphone |
title_full | Sickle cell detection using a smartphone |
title_fullStr | Sickle cell detection using a smartphone |
title_full_unstemmed | Sickle cell detection using a smartphone |
title_short | Sickle cell detection using a smartphone |
title_sort | sickle cell detection using a smartphone |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615037/ https://www.ncbi.nlm.nih.gov/pubmed/26492382 http://dx.doi.org/10.1038/srep15022 |
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