Image-Based flow cytometry and angle-resolved light scattering to define the sickling process

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buir.contributor.authorGöktaş, Polat
buir.contributor.authorAyhan, Altıntaş
dc.citation.epage498en_US
dc.citation.issueNumber5en_US
dc.citation.spage488en_US
dc.citation.volumeNumber95en_US
dc.contributor.authorGöktaş, Polaten_US
dc.contributor.authorSukharevsky, I.en_US
dc.contributor.authorLarkin, S.en_US
dc.contributor.authorKuypers, F.en_US
dc.contributor.authorYalçın, Ö.en_US
dc.contributor.authorAyhan, Altıntaşen_US
dc.date.accessioned2020-02-10T11:16:42Z
dc.date.available2020-02-10T11:16:42Z
dc.date.issued2019
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractRed blood cells (RBCs) from sickle cell patients exposed to a low oxygen tension reveal highly heterogeneous cell morphologies due to the polymerization of sickle hemoglobin (HbS). We show that angle‐resolved light scattering approach with the use of image‐based flow cytometry provides reliable quantitative data to define the change in morphology of large populations of RBCs from sickle cell patients when the cells are exposed for different times to low oxygen. We characterize the RBC morphological profile by means of a set of morphological and physical parameters, which includes cell shape, size, and orientation. These parameters define the cell as discocyte, sickle, elongated, as well as irregularly or abnormal RBC shaped cells, including echinocytes, holly‐leaf, and granular structures. In contrast to microscopy, quick assessment of large numbers of cells provides statistically relevant information of the dynamic process of RBC sickling in time. The use of this approach facilitates the understanding of the processes that define the propensity of sickle blood samples to change their shape, and the ensuing vaso‐occlusive events in the circulation of the patients. Moreover, it assists in the evaluation of treatments that include the use of anti‐sickling agents, gene therapy‐based hemoglobin modifications, as well as other approaches to improve the quality of life of sickle cell patients. © 2019 International Society for Advancement of Cytometryen_US
dc.description.provenanceSubmitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2020-02-10T11:16:42Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5)en
dc.description.provenanceMade available in DSpace on 2020-02-10T11:16:42Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) Previous issue date: 2019en
dc.description.sponsorshipAlexander von Humboldt Foundationen_US
dc.description.sponsorshipIEEE Antennas and Propagation Society (AP‐S) Doctoral Research Granten_US
dc.embargo.release2020-05-14
dc.identifier.doi10.1002/cyto.a.23756en_US
dc.identifier.issn1552-4922
dc.identifier.urihttp://hdl.handle.net/11693/53227
dc.language.isoEnglishen_US
dc.publisherInternational Society for Advancement of Cytometryen_US
dc.relation.isversionofhttps://doi.org/10.1002/cyto.a.23756en_US
dc.source.titleCytometry Part Aen_US
dc.subjectComputational flow cytometryen_US
dc.subjectRed blood cellsen_US
dc.subjectSickle cell diseaseen_US
dc.subjectHbS polymerizationen_US
dc.subjectLight scatteringen_US
dc.subjectPrecision and personalized patient‐oriented medicineen_US
dc.titleImage-Based flow cytometry and angle-resolved light scattering to define the sickling processen_US
dc.typeArticleen_US

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