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A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells
The somatic cell count (SCC) in raw milk is an important basis for determining whether a cow is suffering from mastitis. To address the problem of an uneven distribution of somatic cells due to cell-adherent sedimentation, among other reasons, during milk sampling, which in turn results in unreprese...
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/PMC9784796/ https://www.ncbi.nlm.nih.gov/pubmed/36557474 http://dx.doi.org/10.3390/mi13122173 |
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author | Zhou, Wei Li, Xingyu Su, Wanyun Zheng, Hongbiao An, Guangxin Li, Zhilin Li, Shanshan |
author_facet | Zhou, Wei Li, Xingyu Su, Wanyun Zheng, Hongbiao An, Guangxin Li, Zhilin Li, Shanshan |
author_sort | Zhou, Wei |
collection | PubMed |
description | The somatic cell count (SCC) in raw milk is an important basis for determining whether a cow is suffering from mastitis. To address the problem of an uneven distribution of somatic cells due to cell-adherent sedimentation, among other reasons, during milk sampling, which in turn results in unrepresentative somatic cell counting, a method is proposed for obtaining a uniform distribution of somatic cells and improving the counting accuracy based on a nine-cell grid microfluidic chip. Firstly, a simulation was performed to verify the uniformity of the somatic cell distribution within the chip observation cavities. Secondly, a nine-cell grid microfluidic chip was prepared and a negative-pressure injection system integrating staining and stirring was developed to ensure that the somatic cells were uniformly distributed and free from air contamination during the injection process. As well as the structure of the chip, a microscopic imaging system was developed, and the nine chip observation cavities were photographed. Finally, the somatic cells were counted and the uniformity of the somatic cell distribution was verified using image processing. The experimental results show that the standard deviation coefficient of the SCC in each group of nine images was less than 1.61%. The automatic counting accuracy of the system was between 97.07% and 99.47%. This research method lays the foundation for the detection and prevention of mastitis in cows. |
format | Online Article Text |
id | pubmed-9784796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97847962022-12-24 A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells Zhou, Wei Li, Xingyu Su, Wanyun Zheng, Hongbiao An, Guangxin Li, Zhilin Li, Shanshan Micromachines (Basel) Article The somatic cell count (SCC) in raw milk is an important basis for determining whether a cow is suffering from mastitis. To address the problem of an uneven distribution of somatic cells due to cell-adherent sedimentation, among other reasons, during milk sampling, which in turn results in unrepresentative somatic cell counting, a method is proposed for obtaining a uniform distribution of somatic cells and improving the counting accuracy based on a nine-cell grid microfluidic chip. Firstly, a simulation was performed to verify the uniformity of the somatic cell distribution within the chip observation cavities. Secondly, a nine-cell grid microfluidic chip was prepared and a negative-pressure injection system integrating staining and stirring was developed to ensure that the somatic cells were uniformly distributed and free from air contamination during the injection process. As well as the structure of the chip, a microscopic imaging system was developed, and the nine chip observation cavities were photographed. Finally, the somatic cells were counted and the uniformity of the somatic cell distribution was verified using image processing. The experimental results show that the standard deviation coefficient of the SCC in each group of nine images was less than 1.61%. The automatic counting accuracy of the system was between 97.07% and 99.47%. This research method lays the foundation for the detection and prevention of mastitis in cows. MDPI 2022-12-08 /pmc/articles/PMC9784796/ /pubmed/36557474 http://dx.doi.org/10.3390/mi13122173 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 Zhou, Wei Li, Xingyu Su, Wanyun Zheng, Hongbiao An, Guangxin Li, Zhilin Li, Shanshan A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title | A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title_full | A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title_fullStr | A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title_full_unstemmed | A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title_short | A Study on the Uniform Distribution and Counting Method of Raw Cow’s Milk Somatic Cells |
title_sort | study on the uniform distribution and counting method of raw cow’s milk somatic cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784796/ https://www.ncbi.nlm.nih.gov/pubmed/36557474 http://dx.doi.org/10.3390/mi13122173 |
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