Blood cell quantification on dry blood samples : toward patient-centric complete blood counts
Background: Performing complete blood counts from patients' homes could have a transformative impact on e-based healthcare. Blood microsampling and sample drying are enabling elements for patient-centric healthcare. The aim of this study was to investigate the potential of dry blood samples for image-based cell quantification of red and white blood cells. Methods: A manual sample preparation method was developed and tested for image-based red and white blood cell counting. Results & conclusion: Dry blood samples enable image-based cell counting of red and white blood cells with a good correlation to gold standard hematology analyzer data (average coefficient of variation <6.5%; R2 >0.8) and resolve the basic morphology of white blood cell nuclei. The presented proof-of-principle study is a first step toward patient-centric complete blood counts.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
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| Enthalten in: |
Bioanalysis - 14(2022), 10 vom: 01. Mai, Seite 693-701 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dobielewski, Mikolaj [VerfasserIn] |
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| Links: |
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| Themen: |
Blood |
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| Anmerkungen: |
Date Completed 16.06.2022 Date Revised 16.06.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.4155/bio-2022-0029 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM341164488 |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Background: Performing complete blood counts from patients' homes could have a transformative impact on e-based healthcare. Blood microsampling and sample drying are enabling elements for patient-centric healthcare. The aim of this study was to investigate the potential of dry blood samples for image-based cell quantification of red and white blood cells. Methods: A manual sample preparation method was developed and tested for image-based red and white blood cell counting. Results & conclusion: Dry blood samples enable image-based cell counting of red and white blood cells with a good correlation to gold standard hematology analyzer data (average coefficient of variation <6.5%; R2 >0.8) and resolve the basic morphology of white blood cell nuclei. The presented proof-of-principle study is a first step toward patient-centric complete blood counts | ||
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| 700 | 1 | |a Stemme, Göran |e verfasserin |4 aut | |
| 700 | 1 | |a Roxhed, Niclas |e verfasserin |4 aut | |
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