Label‐Free Sickle Cell Disease Diagnosis using a Low‐Cost, Handheld Platform
Source abstract
Abstract
Recent technological advancements have made strides in shifting clinical diagnostics from large centralized laboratories to the point of care, thus widely increasing the accessibility to such diagnostic procedures worldwide. For sickle cell disease diagnostics, many current technologies require costly equipment and specialized training while others rely on subjective interpretation of results and can be vulnerable to user error. In contrast, the self‐contained, user‐friendly, and low‐cost platform proposed here uses magnetic focusing to separate, image, and analyze blood cells based on their densities. Here, the applicability of this approach is demonstrated to provide a quantitative diagnosis of sickle cell disease. Further, in low‐resource settings such as sub‐Saharan Africa (where the disease is common but no ubiquitous testing and monitoring procedures are in place), this technology can enable simple, rapid, and accessible sickle cell disease diagnostics and monitoring.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Biosensors and Analytical Detection · Digital Imaging for Blood Diseases · Phytoplasmas and Hemiptera pathogens
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering University of Connecticut Storrs CT 06269 USA
Department of Biomedical Engineering University of Connecticut Storrs CT 06269 USA
Sickle Cell Program Dana‐Farber/Boston Children's Cancer and Blood Disorders Center Harvard Medical School Boston MA 02115 USA
Funding
American Heart Association Scientist Development Grant · University of Connecticut Research Excellence Program award
References (23)
Show source-provided references
1. 10.1039/C0LC00403K10.1039/C0LC00403K ↗
2. 10.3390/bios503057710.3390/bios5030577 ↗
3. 10.1039/c3lc50169h10.1039/c3lc50169h ↗
4. 10.1371/journal.pone.000632010.1371/journal.pone.0006320 ↗
5. 10.1016/j.bios.2016.01.06010.1016/j.bios.2016.01.060 ↗
6. 10.1016/j.biotechadv.2011.06.01710.1016/j.biotechadv.2011.06.017 ↗
7. 2006
8. National Heart Lung and Blood Institute National Institute of Health 2012.
9. 10.1182/blood-2011-02-27268210.1182/blood-2011-02-272682 ↗
10. 10.1172/JCI11096010.1172/JCI110960 ↗
11. 10.1182/blood-2008-01-13535010.1182/blood-2008-01-135350 ↗
12. 10.1073/pnas.70.3.71810.1073/pnas.70.3.718 ↗
13. 10.1182/blood.V99.7.257810.1182/blood.V99.7.2578 ↗
14. 10.1097/00062752-200203000-0000410.1097/00062752-200203000-00004 ↗
15. 10.1182/blood-2006-04-01863010.1182/blood-2006-04-018630 ↗
16. 10.1038/srep1502210.1038/srep15022 ↗
17. 10.1016/S0022-3476(70)80140-810.1016/S0022-3476(70)80140-8 ↗
18. 10.1113/jphysiol.2012.24657910.1113/jphysiol.2012.246579 ↗
19. 10.1039/c3lc41302k10.1039/c3lc41302k ↗
20. 10.1002/adma.20140566010.1002/adma.201405660 ↗
21. 10.1073/pnas.141473911110.1073/pnas.1414739111 ↗
22. 10.1371/journal.pone.013440010.1371/journal.pone.0134400 ↗
23. Y.Takamura K.Idegami M.Kogi H.Takabayashi J. A. I. O. S. A. Technology K. M. University K. I. O. Technology US Patent2013 US 20130072402 A1.