Dataset Information

Label-free classification of cells based on supervised machine learning of subcellular structures.

ABSTRACT: It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were imaged by quantitative phase microscopy, which provides morphological information without staining quantitatively in terms of optical thickness of cells. Subcellular features were then extracted from the obtained images as training data sets for the machine learning. The built classifier successfully classified WBCs from cell lines (area under ROC curve = 0.996). This label-free, non-cytotoxic cell classification based on the subcellular structure of QPM images has the potential to serve as an automated diagnosis of single cells.

SUBMITTER: Ozaki Y

PROVIDER: S-EPMC6350988 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Label-free classification of cells based on supervised machine learning of subcellular structures.

Ozaki Yusuke Y Yamada Hidenao H Kikuchi Hirotoshi H Hirotsu Amane A Murakami Tomohiro T Matsumoto Tomohiro T Kawabata Toshiki T Hiramatsu Yoshihiro Y Kamiya Kinji K Yamauchi Toyohiko T Goto Kentaro K Ueda Yukio Y Okazaki Shigetoshi S Kitagawa Masatoshi M Takeuchi Hiroya H Konno Hiroyuki H

PloS one 20190129 1

It is demonstrated that cells can be classified by pattern recognition of the subcellular structure of non-stained live cells, and the pattern recognition was performed by machine learning. Human white blood cells and five types of cancer cell lines were imaged by quantitative phase microscopy, which provides morphological information without staining quantitatively in terms of optical thickness of cells. Subcellular features were then extracted from the obtained images as training data sets for ...[more]

PMID: 30695059

Dataset Information

Label-free classification of cells based on supervised machine learning of subcellular structures.

Publications

Label-free classification of cells based on supervised machine learning of subcellular structures.

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