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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | en_US |
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Nature Publishing Group
2015
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| Online Access: | http://hdl.handle.net/1721.1/100526 https://orcid.org/0000-0003-1631-4525 |
| _version_ | 1826194752002850816 |
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| author | Knowlton, S. M. Sencan, I. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Aytar, Yusuf |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Knowlton, S. M. Sencan, I. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Aytar, Yusuf |
| author_sort | Knowlton, S. M. |
| collection | MIT |
| 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. |
| first_indexed | 2024-09-23T10:01:14Z |
| format | Article |
| id | mit-1721.1/100526 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:01:14Z |
| publishDate | 2015 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1005262022-09-30T18:22:00Z Sickle cell detection using a smartphone Knowlton, S. M. Sencan, I. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Aytar, Yusuf Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Aytar, Yusuf 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. 2015-12-28T13:05:25Z 2015-12-28T13:05:25Z 2015-10 2015-03 Article http://purl.org/eprint/type/JournalArticle 2045-2322 http://hdl.handle.net/1721.1/100526 Knowlton, S. M., I. Sencan, Y. Aytar, J. Khoory, M. M. Heeney, I. C. Ghiran, and S. Tasoglu. “Sickle Cell Detection Using a Smartphone.” Scientific Reports 5 (October 22, 2015): 15022. https://orcid.org/0000-0003-1631-4525 en_US http://dx.doi.org/10.1038/srep15022 Scientific Reports Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Nature Publishing Group Nature Publishing Group |
| spellingShingle | Knowlton, S. M. Sencan, I. Khoory, J. Heeney, M. M. Ghiran, I. C. Tasoglu, S. Aytar, Yusuf 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 |
| url | http://hdl.handle.net/1721.1/100526 https://orcid.org/0000-0003-1631-4525 |
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