High-throughput discrimination of cancerous and noncancerous human cell lines by high-speed spontaneous Raman microscopy

Yasuaki Kumamoto, Kentaro Mochizuki, Kosuke Hashimoto, Yoshinori Harada, Hideo Tanaka, Katsumasa Fujita

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We used only a narrow range, 1397-1501 cm-1, for high-throughput analysis of cancerous and noncancerous human cell lines by spontaneous Raman microscopy. With baseline-corrected cellwise spectra in this range, two cell lines were discriminated at accuracy higher than 90%. This narrowband measurement allowed reduction of the signal readout time by 24-folds in comparison to a correspondent wideband measurement detecting 536-3132 cm-1, enabling cell analysis at 2.5 cells/min. To further improve the throughput, we employed detector binning, which allowed reduction not just of the readout time but also of the signal accumulation time with maintaining signal-to-background ratio and the accuracy. Improvement of the imaging speed by this approach reached at 4-folds, enabling a high-throughout analysis at 10 cells/min.

Original languageEnglish
Title of host publicationBiomedical Imaging and Sensing Conference 2020
EditorsToyohiko Yatagai, Yoshihisa Aizu, Osamu Matoba, Yasuhiro Awatsuji, Yuan Luo
PublisherSPIE
ISBN (Electronic)9781510638495
DOIs
StatePublished - 2020
Event6th Biomedical Imaging and Sensing Conference - Yokohama, Japan
Duration: 2020/04/202020/04/24

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11521
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference6th Biomedical Imaging and Sensing Conference
Country/TerritoryJapan
CityYokohama
Period2020/04/202020/04/24

Keywords

  • Cancer detection
  • Discriminant analysis
  • Narrowband
  • Raman microscopy
  • Spectral resolution

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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