Extraction and evaluation of cell nuclei images in label-free phase contrast microscopy enabled by machine learning using a data analysis platform Usiigaci
Recently, machine learning has been applied as a powerful tool for determining cell functions and states from cell shape features in microscopic images. However, it has not been fully investigated how changes in the microscopic observation environments and differences in cell types affect the accura...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Japanese |
| Published: |
The Japan Society of Mechanical Engineers
2024-11-01
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| Series: | Nihon Kikai Gakkai ronbunshu |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/transjsme/90/939/90_24-00180/_pdf/-char/en |
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