ArticleAmerican journal of hematology2014
Imaging flow cytometry for automated detection of hypoxia-induced erythrocyte shape change in sickle cell disease.
Article in American journal of hematology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 66 citations in OpenAlex.
- Translation of the Morphological Hallmarks of Dyserythropoiesis to Objective Morphometric Parameters by Imaging Flow Cytometry.International journal of laboratory hematology · 2025Article
- Article
- Differential sensitivity to hypoxia enables shape-based classification of sickle cell disease and trait blood samples at point of care.Bioengineering & translational medicine · 2024Article
- Deformability of Heterogeneous Red Blood Cells in Aging and Related Pathologies.Aging and disease · 2024Review
- Comparative analysis of feature-based ML and CNN for binucleated erythroblast quantification in myelodysplastic syndrome patients using imaging flow cytometry data.Scientific reports · 2024Article
- Elucidating parasite and host-cell factors enabling Babesia infection in sickle red cells under hypoxic/hyperoxic conditions.Blood advances · 2023Article
- Oxidative Reactions Catalyzed by Hydrogen Peroxide Produced by Streptococcus pneumoniae and Other Streptococci Cause the Release and Degradation of Heme from Hemoglobin.Infection and immunity · 2022Article
- Article
- Phenotypic analysis of erythrocytes in sickle cell disease using imaging flow cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022Article
- Recent Advances in Electrical Impedance Sensing Technology for Single-Cell Analysis.Biosensors · 2021Review
- A portable impedance microflow cytometer for measuring cellular response to hypoxia.Biotechnology and bioengineering · 2021Article
- Techniques for the Detection of Sickle Cell Disease: A Review.Micromachines · 2021Review
- Smartphone-based sickle cell disease detection and monitoring for point-of-care settings.Biosensors & bioelectronics · 2020Article
- HRI depletion cooperates with pharmacologic inducers to elevate fetal hemoglobin and reduce sickle cell formation.Blood advances · 2020Article
- Imaging Flow Cytometry Protocols for Examining Phagocytosis of Microplastics and Bioparticles by Immune Cells of Aquatic Animals.Frontiers in immunology · 2020Article
- Blood rheology biomarkers in sickle cell disease.Experimental biology and medicine (Maywood, N.J.) · 2020Review
- Insights into determinants of spleen injury in sickle cell anemia.Blood advances · 2019Article
- Electrical Impedance Characterization of Erythrocyte Response to Cyclic Hypoxia in Sickle Cell Disease.ACS sensors · 2019Article
- Rapid and reproducible characterization of sickling during automated deoxygenation in sickle cell disease patients.American journal of hematology · 2019Article
- Confocal micrographs: automated segmentation and quantitative shape analysis of neuronal cells treated with ostreolysin A/pleurotolysin B pore-forming complex.Histochemistry and cell biology · 2018Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
In preclinical and early phase pharmacologic trials in sickle cell disease, the percentage of sickled erythrocytes after deoxygenation, an ex vivo functional sickling assay, has been used as a measure of a patient's disease outcome. We developed a new sickle imaging flow cytometry assay (SIFCA) and investigated its application. To perform the SIFCA, peripheral blood was diluted, deoxygenated (2% oxygen) for 2 hr, fixed, and analyzed using imaging flow cytometry. We developed a software algorithm that correctly classified investigator tagged "sickled" and "normal" erythrocyte morphology with a sensitivity of 100% and a specificity of 99.1%. The percentage of sickled cells as measured by SIFCA correlated strongly with the percentage of sickle cell anemia blood in experimentally admixed samples (R = 0.98, P ≤ 0.001), negatively with fetal hemoglobin (HbF) levels (R = -0.558, P = 0.027), negatively with pH (R = -0.688, P = 0.026), negatively with pretreatment with the antisickling agent, Aes-103 (5-hydroxymethyl-2-furfural) (R = -0.766, P = 0.002), and positively with the presence of long intracellular fibers as visualized by transmission electron microscopy (R = 0.799, P = 0.002). This study shows proof of principle that the automated, operator-independent SIFCA is associated with predictable physiologic and clinical parameters and is altered by the putative antisickling agent, Aes-103. SIFCA is a new method that may be useful in sickle cell drug development.
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Registered trials
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