Literature DB >> 33659073

Hyperspectral microscopy combined with DAPI staining for the identification of hepatic carcinoma cells.

Kunxing Liu1,2, Sifan Lin1,2, Siqi Zhu1,2,3, Yao Chen1,2, Hao Yin1,2, Zhen Li1,2,3, Zhenqiang Chen1,2,3.   

Abstract

In this study, the DAPI staining is firstly reported for use in the identification of hepatic carcinoma cells based on hyperspectral microscopy. Nuclei in cancer cells usually contain more aneuploidies than that in normal cells, leading to the change of DNA content. Here, we stain hepatic carcinoma tissues and normal hepatic tissues with 4',6-diamidino-2-phenylindole (DAPI) which is sensitive to the DNA content as a fluorochrome binds to DNA. Consequently, the difference in DNA content between hepatic carcinoma cells and normal hepatic cells can be identified by the fluorescent spectral characteristics. Harnessing the hyperspectral microscopy, we find that the fluorescent properties of these two kinds of cells are different not only in the intensity but also in the spectral shape. These properties are exploited to train a support vector machine (SVM) model for classifying cells. The results show that the sensitivity and specificity for the identification of 1000 hepatic carcinoma samples are 99.3% and 99.1%, respectively.
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2020        PMID: 33659073      PMCID: PMC7899502          DOI: 10.1364/BOE.412158

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  2 in total

1.  Cancer detection from stained biopsies using high-speed spectral imaging.

Authors:  Eugene Brozgol; Pramod Kumar; Daniela Necula; Irena Bronshtein-Berger; Moshe Lindner; Shlomi Medalion; Lee Twito; Yotam Shapira; Helena Gondra; Iris Barshack; Yuval Garini
Journal:  Biomed Opt Express       Date:  2022-03-28       Impact factor: 3.562

2.  Identification of DAPI-stained normal, inflammatory, and carcinoma hepatic cells based on hyperspectral microscopy.

Authors:  Sifan Lin; Ze Ke; Kunxing Liu; Siqi Zhu; Zhen Li; Hao Yin; Zhenqiang Chen
Journal:  Biomed Opt Express       Date:  2022-03-14       Impact factor: 3.562

  2 in total

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