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Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique
The complete blood count (CBC) is one of the most important clinical steps in clinical diagnosis. The instruments used for CBC are usually expensive and bulky and require well-trained operators. Therefore, it is difficult for medical institutions below the tertiary level to provide these instruments...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869521/ https://www.ncbi.nlm.nih.gov/pubmed/35200308 http://dx.doi.org/10.3390/bios12020047 |
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author | Seo, Dongmin Han, Euijin Kumar, Samir Jeon, Eekhyoung Nam, Myung-Hyun Jun, Hyun Sik Seo, Sungkyu |
author_facet | Seo, Dongmin Han, Euijin Kumar, Samir Jeon, Eekhyoung Nam, Myung-Hyun Jun, Hyun Sik Seo, Sungkyu |
author_sort | Seo, Dongmin |
collection | PubMed |
description | The complete blood count (CBC) is one of the most important clinical steps in clinical diagnosis. The instruments used for CBC are usually expensive and bulky and require well-trained operators. Therefore, it is difficult for medical institutions below the tertiary level to provide these instruments, especially in underprivileged countries. Several reported on-chip blood cell tests are still in their infancy and do not deviate from conventional microscopic or impedance measurement methods. In this study, we (i) combined magnetically activated cell sorting and the differential density method to develop a method to selectively isolate three types of leukocytes from blood and obtain samples with high purity and concentration for portable leukocyte classification using the lens-free shadow imaging technique (LSIT), and (ii) established several shadow parameters to identify the type of leukocytes in a complete leukocyte shadow image by shadow image analysis. The purity of the separated leukocytes was confirmed by flow cytometry. Several shadow parameters such as the “order ratio” and “minimum ratio” were developed to classify the three types of leukocytes. A shadow image library corresponding to each type of leukocyte was created from the tested samples. Compared with clinical reference data, a correlation index of 0.98 was obtained with an average error of 6% and a confidence level of 95%. This technique offers great potential for biological, pharmaceutical, environmental, and clinical applications, especially where point-of-care detection of rare cells is required. |
format | Online Article Text |
id | pubmed-8869521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88695212022-02-25 Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique Seo, Dongmin Han, Euijin Kumar, Samir Jeon, Eekhyoung Nam, Myung-Hyun Jun, Hyun Sik Seo, Sungkyu Biosensors (Basel) Article The complete blood count (CBC) is one of the most important clinical steps in clinical diagnosis. The instruments used for CBC are usually expensive and bulky and require well-trained operators. Therefore, it is difficult for medical institutions below the tertiary level to provide these instruments, especially in underprivileged countries. Several reported on-chip blood cell tests are still in their infancy and do not deviate from conventional microscopic or impedance measurement methods. In this study, we (i) combined magnetically activated cell sorting and the differential density method to develop a method to selectively isolate three types of leukocytes from blood and obtain samples with high purity and concentration for portable leukocyte classification using the lens-free shadow imaging technique (LSIT), and (ii) established several shadow parameters to identify the type of leukocytes in a complete leukocyte shadow image by shadow image analysis. The purity of the separated leukocytes was confirmed by flow cytometry. Several shadow parameters such as the “order ratio” and “minimum ratio” were developed to classify the three types of leukocytes. A shadow image library corresponding to each type of leukocyte was created from the tested samples. Compared with clinical reference data, a correlation index of 0.98 was obtained with an average error of 6% and a confidence level of 95%. This technique offers great potential for biological, pharmaceutical, environmental, and clinical applications, especially where point-of-care detection of rare cells is required. MDPI 2022-01-18 /pmc/articles/PMC8869521/ /pubmed/35200308 http://dx.doi.org/10.3390/bios12020047 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Seo, Dongmin Han, Euijin Kumar, Samir Jeon, Eekhyoung Nam, Myung-Hyun Jun, Hyun Sik Seo, Sungkyu Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title | Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title_full | Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title_fullStr | Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title_full_unstemmed | Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title_short | Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique |
title_sort | field-portable leukocyte classification device based on lens-free shadow imaging technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8869521/ https://www.ncbi.nlm.nih.gov/pubmed/35200308 http://dx.doi.org/10.3390/bios12020047 |
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