Automatic discrimination of human hematopoietic tumor cell lines using a combination of imaging flow cytometry and convolutional neural network

Yoshikazu Matsuoka; Ryusuke Nakatsuka; Tatsuya Fujioka

doi:10.1007/s13577-021-00506-2

Automatic discrimination of human hematopoietic tumor cell lines using a combination of imaging flow cytometry and convolutional neural network

Hum Cell. 2021 May;34(3):1021-1024. doi: 10.1007/s13577-021-00506-2. Epub 2021 Feb 16.

Authors

Yoshikazu Matsuoka¹, Ryusuke Nakatsuka², Tatsuya Fujioka²

Affiliations

¹ Department of iPS Stem Cell Regenerative Medicine, Kansai Medical University, Hirakata, Osaka, 573-1010, Japan. matsuyos@hirakata.kmu.ac.jp.
² Department of iPS Stem Cell Regenerative Medicine, Kansai Medical University, Hirakata, Osaka, 573-1010, Japan.

PMID: 33594642
DOI: 10.1007/s13577-021-00506-2

No abstract available

Keywords: Automatic cell discrimination.; Convolutional neural network; Hematopoietic malignancy; Human hematopoietic tumor cell line; Imaging flow cytometry.

Publication types

Letter

MeSH terms

Cell Line, Tumor
Diagnostic Imaging / methods*
Flow Cytometry / methods*
Hematologic Neoplasms / diagnosis*
Hematologic Neoplasms / physiopathology
Hematopoiesis
Humans
Neural Networks, Computer

Publication types

MeSH terms

Grants and funding