ArticleScientific reports2015
Sickle cell detection using a smartphone.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 126 citations in OpenAlex.
- Magnetic-Assisted Manipulation of Rare Blood Cells for Diagnosis: A Systematic Review.Biotechnology and bioengineering · 2025Pooled it
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Article
- Exploring the limits of magnetic levitation: submicron particle separation and density profiling.Materials research express · 2025Article
- A commentary on the development and use of smartphone imaging devices.Biophysical reviews · 2024Article
- Multi-omics analysis of magnetically levitated plasma biomolecules.Biosensors & bioelectronics · 2023Article
- The Unique Magnetic Signature of Sickle Red Blood Cells: A Comparison Between the Red Blood Cells of Transfused and Non-Transfused Sickle Cell Disease Patients and Healthy Donors.IEEE transactions on bio-medical engineering · 2022Article
- Metasurfaces for Sensing Applications: Gas, Bio and Chemical.Sensors (Basel, Switzerland) · 2022Review
- Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study.JMIR formative research · 2022Article
- Deep Learning-Enabled Technologies for Bioimage Analysis.Micromachines · 2022Review
- Point-of-care microchip electrophoresis for integrated anemia and hemoglobin variant testing.Lab on a chip · 2021Article
- Design and Adoption of Low-Cost Point-of-Care Diagnostic Devices: Syrian Case.Micromachines · 2021Article
- Multiparametric biophysical profiling of red blood cells in malaria infection.Communications biology · 2021Article
- Techniques for the Detection of Sickle Cell Disease: A Review.Micromachines · 2021Review
- Hemp-Based Microfluidics.Micromachines · 2021Article
- 3D-printed microneedles in biomedical applications.iScience · 2021Review
- Increasing the packing density of assays in paper-based microfluidic devices.Biomicrofluidics · 2021Review
- Machine learning-enabled multiplexed microfluidic sensors.Biomicrofluidics · 2020Review
- Smartphone-based sickle cell disease detection and monitoring for point-of-care settings.Biosensors & bioelectronics · 2020Article
- Trends in the Development of Diagnostic Tools for Red Blood Cell-Related Diseases and Anemias.Frontiers in physiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
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.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.