Cell type discrimination based on image features of molecular component distribution
Cell type discrimination based on image features of molecular component distribution
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Machine learning-based cell classifiers use cell images to automate cell-type discrimination, which is increasingly becoming beneficial in biological studies and biomedical applications. Brightfield or fluorescence images are generally employed as the classifier input variables. We propose to use Raman spectral images and a method to extract featur...
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Full title
Cell type discrimination based on image features of molecular component distribution
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6079059
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6079059
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-018-30276-1
