ArticleScientific reports2016
Optical characterization of red blood cells from individuals with sickle cell trait and disease in Tanzania using quantitative phase imaging.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 3 citations in OpenAlex.
- Optical diffraction tomographic microscopy: a cutting-edge label-free three-dimensional bioimaging.Biophysics reports · 2026Article
- Pathophysiological Associations and Measurement Techniques of Red Blood Cell Deformability.Biosensors · 2025Review
- Microfluidic Assays for CD4 T Lymphocyte Counting: A Review.Biosensors · 2025Review
- Differential sensitivity to hypoxia enables shape-based classification of sickle cell disease and trait blood samples at point of care.Bioengineering & translational medicine · 2024Article
- Analysis of structural effects of sickle cell disease on brain vasculature of mice using three-dimensional quantitative phase imaging.Journal of biomedical optics · 2023Article
- Biophysical Profiling of Sickle Cell Disease Using Holographic Cytometry and Deep Learning.International journal of molecular sciences · 2023Article
- Scaling of erythrocyte shape and nucleus size among squamate reptiles: reanalysis points to constrained, proportional rather than adaptive changes.Royal Society open science · 2023Article
- Effects of osmolality and solutes on the morphology of red blood cells according to three-dimensional refractive index tomography.PloS one · 2021Article
- Automatic detection and characterization of quantitative phase images of thalassemic red blood cells using a mask region-based convolutional neural network.Journal of biomedical optics · 2020Article
- Flow-induced segregation and dynamics of red blood cells in sickle cell disease.Physical review fluids · 2020Article
- Quantitative absorption imaging of red blood cells to determine physical and mechanical properties.RSC advances · 2020Article
- Heterogeneity of Red Blood Cells: Causes and Consequences.Frontiers in physiology · 2020Review
- Simple adaptive mobile phone screen illumination for dual phone differential phase contrast (DPDPC) microscopy.Biomedical optics express · 2019Article
- Refractive index of human red blood cells between 290 nm and 1100 nm determined by optical extinction measurements.Scientific reports · 2019Article
- Maternal Smoking Highly Affects the Function, Membrane Integrity, and Rheological Properties in Fetal Red Blood Cells.Oxidative medicine and cellular longevity · 2019Article
- Shape oscillations of single blood drops: applications to human blood and sickle cell disease.Scientific reports · 2018Article
- Combining Three-Dimensional Quantitative Phase Imaging and Fluorescence Microscopy for the Study of Cell Pathophysiology.The Yale journal of biology and medicine · 2018Review
- Widefield standing wave microscopy of red blood cell membrane morphology with high temporal resolution.Biomedical optics express · 2018Article
- A Novel Technique of Spectral Discrimination of Variants of Sickle Cell Anemia.Disease markers · 2018Article
- Refractive index tomograms and dynamic membrane fluctuations of red blood cells from patients with diabetes mellitus.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sickle cell disease (SCD) is common across Sub-Saharan Africa. However, the investigation of SCD in this area has been significantly limited mainly due to the lack of research facilities and skilled personnel. Here, we present optical measurements of individual red blood cells from healthy individuals and individuals with SCD and sickle cell trait in Tanzania using the quantitative phase imaging technique. By employing a quantitative phase imaging unit, an existing microscope in a clinic is transformed into a powerful quantitative phase microscope providing measurements on the morphological, biochemical, and biomechanical properties of individual cells. The present approach will open up new opportunities for cost-effective investigation and diagnosis of several diseases in low resource environments.
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