High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy

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

doi:https://doi.org/10.1021/acs.jpcb.8b11295

High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy

Kumamoto, Yasuaki; Mochizuki, Kentaro; Hashimoto, Kosuke et al.

Journal of Physical Chemistry B, 2019, 123(12), 2654-2661

Number of Access:170（2026-02-18 11:34 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/103312

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Title	High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy
Creator	NRID 1000030611727 1000030611727 ORCID 0000-0002-4398-288X 0000-0002-4398-288X researchmap permalink jemappellekuma jemappellekuma Scopus Author ID 24376935000 24376935000 CreatorName Kumamoto, Yasuaki
	NRID 1000050868768 1000050868768 CreatorName Mochizuki, Kentaro
	NRID 1000030868831 1000030868831 CreatorName Hashimoto, Kosuke
	NRID 1000010381956 1000010381956 CreatorName Harada, Yoshinori
	NRID 1000060236619 1000060236619 CreatorName Tanaka, Hideo
	NRID 1000080362664 1000080362664 ORCID 0000-0002-2284-375X 0000-0002-2284-375X researchmap permalink read0089911 read0089911 Scopus Author ID 7404058829 7404058829 CreatorName Fujita, Katsumasa
Description	This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Physical Chemistry B 123, 2654 (2019), © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jpcb.8b11295.
Abstract	We investigated the use of narrowband Raman spectra for rapid label-free molecular imaging aimed at cell classification using principal component regression and linear discriminant analysis. In the classification of breast nontumorigenic epithelial and cancer cell lines, the classification accuracies using a spectral range of 100 cm⁻¹ were equivalent to or better than that with using the fingerprint and high-wavenumber regions. Narrowing the Raman spectral range for analysis allows reduction of the charge-coupled device (CCD) pixels required for spectrum detection, resulting in the improvement of image acquisition speed with adequate classification accuracy. Our measurements revealed that the wavenumber region at 1397-1501 cm⁻¹ can provide molecular information sufficient for cell classification without causing notable errors in the baseline-correction. A spectral resolution of ∼9 cm⁻¹ was found to be sufficient to provide high accuracy in cell classification, which allowed us to apply pixel binning at the CCD readout for further acceleration of the imaging speed. As a result, the acquisition time for a 1200 × 1500 pixels Raman hyperspectral image at 1397-1501 cm⁻¹ was reduced to 21 min. Under this condition, different cell lines were classified at accuracies higher than 90%. The presented approach will improve throughput of cell and tissue analysis and classification using Raman spectroscopy and extend practical uses of Raman imaging in biology and medicine.
Publisher	American Chemical Society
Source Title	Journal of Physical Chemistry B
Volume (Issue)	123(12)
Page	2654-2661
Date of Issued	2019-03-04
Language	English
Handle URL	https://hdl.handle.net/11094/103312
PISSN	15206106
eISSN	15205207
Relation.isVersionOf	DOI (Publisher Version) https://doi.org/10.1021/acs.jpcb.8b11295
Access Rights	open access
oaire:version	Accepted Manuscript
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Journal of Physical Chemistry B. 2019, 123(12), p. 2654-2661
DC.title	High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy
DC.creator	Kumamoto, Yasuaki
	Mochizuki, Kentaro
	Hashimoto, Kosuke
	Harada, Yoshinori
	Tanaka, Hideo
	Fujita, Katsumasa
DC.publisher	American Chemical Society
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2019-03-04
DC.identifier	https://doi.org/10.1021/acs.jpcb.8b11295
DC.description	This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Physical Chemistry B 123, 2654 (2019), © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jpcb.8b11295.
DCTERMS.abstract	We investigated the use of narrowband Raman spectra for rapid label-free molecular imaging aimed at cell classification using principal component regression and linear discriminant analysis. In the classification of breast nontumorigenic epithelial and cancer cell lines, the classification accuracies using a spectral range of 100 cm⁻¹ were equivalent to or better than that with using the fingerprint and high-wavenumber regions. Narrowing the Raman spectral range for analysis allows reduction of the charge-coupled device (CCD) pixels required for spectrum detection, resulting in the improvement of image acquisition speed with adequate classification accuracy. Our measurements revealed that the wavenumber region at 1397-1501 cm⁻¹ can provide molecular information sufficient for cell classification without causing notable errors in the baseline-correction. A spectral resolution of ∼9 cm⁻¹ was found to be sufficient to provide high accuracy in cell classification, which allowed us to apply pixel binning at the CCD readout for further acceleration of the imaging speed. As a result, the acquisition time for a 1200 × 1500 pixels Raman hyperspectral image at 1397-1501 cm⁻¹ was reduced to 21 min. Under this condition, different cell lines were classified at accuracies higher than 90%. The presented approach will improve throughput of cell and tissue analysis and classification using Raman spectroscopy and extend practical uses of Raman imaging in biology and medicine.
DC.format	103312
citation_title	High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy
citation_author	Kumamoto, Yasuaki
	Mochizuki, Kentaro
	Hashimoto, Kosuke
	Harada, Yoshinori
	Tanaka, Hideo
	Fujita, Katsumasa
citation_publisher	American Chemical Society
citation_language	English
citation_date	2019-03-04
citation_journal_title	Journal of Physical Chemistry B
citation_volume	123
citation_issue	12
citation_firstpage	2654
citation_lastpage	2661
citation_doi	https://doi.org/10.1021/acs.jpcb.8b11295
citation_public_url	https://hdl.handle.net/11094/103312

High-Throughput Cell Imaging and Classification by Narrowband and Low-Spectral-Resolution Raman Microscopy

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