Abstract:
:Confocal Raman microspectral imaging (CRMI) is an advanced cell-imaging method that maps endogenous molecular compositions with their unique spectral fingerprint indicators. The aim of this work was to provide a visualized understanding of subcellular features of live osteosarcoma cells using a 532-nm laser excitation without the use of dyes or molecular probes. Both malignant osteoblast and spindle osteosarcoma cells derived from the BALB/c mouse osteosarcoma cell line K7M2 were investigated in this work. After preprocessing the obtained spectral dataset, K-means cluster analysis (KCA) is employed to reconstruct Raman spectroscopic maps of single biological cells by identifying regions of the cellular membrane, cytoplasm, organelles, and nucleus with their corresponding mean spectra. Principal component analysis (PCA) was further employed to indicate variables of significant influence on the separation of the spectra of each cellular component. The biochemical components of the two cell types were then extracted by showing the spectral and distribution features attributed to proteins, lipids, and DNA. Using this standardized CRMI technique and multivariate analysis approaches, the results obtained could be a sound foundation for a typical Raman imaging protocol of live cellular biomedical analysis.
journal_name
Appl Microbiol Biotechnoljournal_title
Applied microbiology and biotechnologyauthors
Li J,Qin J,Zhang X,Wang R,Liang Z,He Q,Wang Z,Wang K,Wang Sdoi
10.1007/s00253-019-09952-3subject
Has Abstractpub_date
2019-08-01 00:00:00pages
6759-6769issue
16eissn
0175-7598issn
1432-0614pii
10.1007/s00253-019-09952-3journal_volume
103pub_type
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