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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한임상검사정도관리협회 Journal of Laboratory Medicine And Quality Assurance Laboratory Medicine and Quality Assurance 제45권 제1호
- 발행연도
- 2023.3
- 수록면
- 18 - 24 (7page)
- DOI
- 10.15263/jlmqa.2023.45.1.18
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초록· 키워드
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Background: With the introduction of digital cell image analyzer and artificial intelligence, automatic cell image identification and disease diagnosis has become possible. However, an inappropriately stained image can cause errors in cell recognition in digital cell imaging. In this study, we aimed to determine the quality index for the quality control of the staining method.
Methods: The differences (calculated values, VALCELL) in cell percentages (image counts [IMGCELL] and complete blood count with differential count [DIFFCELL]) between the image analyzer and the automatic hematology analyzer were calculated from the appropriately stained smears. Then, a Levey-Jennings control chart was plotted using the VALCELL and the inappropriately stained smears were evaluated against the Levey-Jennings control chart.
Results: The allowable ranges from the Levey-Jennings control charts for neutrophils and lymphocytes were –5.50 to 10.46 and –11.56 to 6.92, respectively. From the Levey-Jennings control charts, 33.3% (5/15) were outside the allowable ranges and considered inappropriately stained.
Conclusions: The differences in the cell percentages between the image analyzer and the automatic hematology analyzer may be used to detect inappropriately stained smears.
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