Literature DB >> 31750618

Applications of imaging flow cytometry in the diagnostic assessment of red cell membrane disorders.

Tejashree Anil More1, Bhavik Dalal1, Rati Devendra1, Prashant Warang1, Aruna Shankarkumar1, Prabhakar Kedar1.   

Abstract

BACKGROUND: Red cell membranopathies refers to phenotypically and morphologically heterogeneous disorders. High throughput imaging flow cytometry (IFC) combines the speed, sensitivity, and phenotyping abilities of flow cytometry with the detailed imagery and functional insights of microscopy to produce high content image analysis with quantitative analysis. We have evaluated the applications of IFC to examine both the morphology as well as fluorescence signal intensity in red cell membranopathies.
METHODS: Fluorescence intensity of eosin-5-maleimide (EMA) labeled red cells was measured for diagnosis of RBC membrane protein defect on Amnis ImageStreamX followed by Image analysis on IDEAS software to study features such as circularity and shape ratio.
RESULTS: The hereditary spherocytosis (HS) group showed significantly decreased MFI (52,800 ± 9,100) than normal controls (81,100 ± 4,700) (p < .05) whereas non-HS showed 78,300 ± 9,900. The shape ratio of hereditary elliptocytosis (HE) was significantly higher (43.8%) than normal controls (14.6%). The circularity score is higher in HS (64.15%) than the normal controls (44.3%) whereas the circularity score was very less in HE (10%) due to the presence of elliptocytes.
CONCLUSIONS: The advantages of the IFC over standard flow cytometry is its ability to provide high-content image analysis and measurement of parameters such as circularity and shape ratio allow discriminating red cell membranopathies (HS and HE) due to variations in shape and size. It could be a single, effective, and rapid IFC test for detection and differentiation of red cell membrane disorders in hematology laboratories where an IFC is available.
© 2019 International Clinical Cytometry Society.

Entities:  

Keywords:  hereditary spherocytosis; imaging flow cytometry; red blood cell

Mesh:

Year:  2019        PMID: 31750618     DOI: 10.1002/cyto.b.21857

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  2 in total

1.  Red blood cell recognition and posture estimation in microfluidic chip based on lensless imaging.

Authors:  Jianwei Li; Li Dai; Ningmei Yu; Yinfeng Wu
Journal:  Biomicrofluidics       Date:  2021-05-28       Impact factor: 3.258

2.  The protective effect of the spleen in sickle cell patients. A comparative study between patients with asplenia/hyposplenism and hypersplenism.

Authors:  Sari Peretz; Leonid Livshits; Etheresia Pretorius; Asya Makhro; Anna Bogdanova; Max Gassmann; Ariel Koren; Carina Levin
Journal:  Front Physiol       Date:  2022-08-29       Impact factor: 4.755

  2 in total

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