Comprehensive quantitative analysis of erythrocytes and leukocytes using trace volume of human blood using microfluidic-image cytometry and machine learning-Reference-Cited by-同舟云学术

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Comprehensive quantitative analysis of erythrocytes and leukocytes using trace volume of human blood using microfluidic-image cytometry and machine learning

Published:2023 Issue:22 Volume:23 Page:4868-4875
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Moradi Nima¹,Haji Mohamad Hoseyni Fateme¹,Hajghassem Hassan¹^ORCID,Yarahmadi Navid¹,Niknam Shirvan Hadi¹,Safaie Erfan¹,Kalantar Mahsa¹,Sefidbakht Salma²,Amini Ali³,Eeltink Sebastiaan³

Affiliation:

1. University of Tehran, Faculty of New Sciences and Technologies, North Kargar Street, Tehran, Iran

2. University of Tehran, Department of Pathology, Tehran, Iran

3. Vrije Universiteit Brussel, Department of Chemical Engineering, Brussels, Belgium

Abstract

A diagnostic test based on microfluidic image cytometry and machine learning has been designed and applied for accurate classification of erythrocytes and leukocytes, including fully-automated 5-part quantitative differentiation.

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D3LC00692A

Reference37 articles.

1. The Value of a Complete Blood Count (CBC) for Sepsis Diagnosis and Prognosis

2. A.Tigner , S. A.Ibrahim and I. V.Murray , Histology, white blood cell , StatPearls Publishing , 2023

3. B. H.Davis and P. W.Barnes , in Laboratory Hematology Practice , Wiley , 2012 , pp. 26–32

4. A microfluidic biochip for complete blood cell counts at the point-of-care

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