ArticleVox sanguinis2015
Quantifying morphological heterogeneity: a study of more than 1 000 000 individual stored red blood cells.
Article in Vox sanguinis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Unbiased Morphometric Assessment of Red Blood Cell Storage Lesion in the Presence of Shear-Induced Stomatocytes.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2025Article
- Stomatocyte-discocyte-echinocyte transformations of erythrocyte modulated by membrane-cytoskeleton mechanical properties.Biophysical journal · 2025Article
- New and emerging technologies for pretransfusion blood quality assessment: A state-of-the-art review.Transfusion · 2024Review
- Measurement of red blood cell deformability during morphological changes using rotating-glass-plate-based scanning optical tweezers.Biomedical optics express · 2023Article
- Deep ensemble learning enables highly accurate classification of stored red blood cell morphology.Scientific reports · 2023Article
- RedTell: an AI tool for interpretable analysis of red blood cell morphology.Frontiers in physiology · 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
- Erysense, a Lab-on-a-Chip-Based Point-of-Care Device to Evaluate Red Blood Cell Flow Properties With Multiple Clinical Applications.Frontiers in physiology · 2022Article
- Microfluidic capillary networks are more sensitive than ektacytometry to the decline of red blood cell deformability induced by storage.Scientific reports · 2021Article
- Dynamics of shape recovery by stored red blood cells during washing at the single cell level.Transfusion · 2020Article
- Blood rheology biomarkers in sickle cell disease.Experimental biology and medicine (Maywood, N.J.) · 2020Review
- Towards bedside washing of stored red blood cells: a prototype of a simple apparatus based on microscale sedimentation in normal gravity.Vox sanguinis · 2018Article
- Fluorescence Exclusion: A Simple Method to Assess Projected Surface, Volume and Morphology of Red Blood Cells Stored in Blood Bank.Frontiers in medicine · 2018Article
- Washing in hypotonic saline reduces the fraction of irreversibly-damaged cells in stored blood: a proof-of-concept study.Blood transfusion = Trasfusione del sangue · 2017Article
- Shape matters: the effect of red blood cell shape on perfusion of an artificial microvascular network.Transfusion · 2016Article
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Authors and funding
4 authors.
Funding
Abstract
BACKGROUND AND
objectivesThe morphology of red blood cells (RBCs) deteriorates progressively during hypothermic storage. The degree of deterioration varies between individual cells, resulting in a highly heterogeneous population of cells contained within each RBC unit. Current techniques capable of categorizing the morphology of individual stored RBCs are manual, laborious and error-prone procedures that limit the number of cells that can be studied. Our objective was to create a simple, automated system for high-throughput RBC morphology classification. MATERIALS AND
methodsA simple microfluidic device, designed to enable rapid, consistent acquisition of images of optimally oriented RBCs, was fabricated using soft lithography. A custom image analysis algorithm was developed to categorize the morphology of each individual RBC in the acquired images. The system was used to determine morphology of individual RBCs in several RBC units stored hypothermically for 6-8 weeks.
resultsThe system was used to automatically determine the distribution of cell diameter within each morphological class for >1 000 000 individual stored RBCs (speed: >10 000 cells/h; accuracy: 91·9% low resolution, 75·3% high resolution). Diameter mean and standard deviation by morphology class were as follows: discocyte 7·80 ± 0·49 μm, echinocyte 1 7·61 ± 0·63 μm, echinocyte 2 7·02 ± 0·61 μm, echinocyte 3 6·47 ± 0·42 μm, sphero-echinocyte 6·01 ± 0·26 μm, spherocyte 6·02 ± 0·27 μm, stomatocyte 1 6·95 ± 0·61 μm and stomatocyte 2 7·32 ± 0·47 μm.
conclusionsThe automated morphology classification procedure described in this study is significantly simpler, faster and less subjective than conventional manual procedures. The ability to evaluate the morphology of individual RBCs automatically, rapidly and in statistically significant numbers enabled us to perform the most extensive study of stored RBC morphology to date.
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