Evidence map›Paper›PMID 35519237›Full record

ArticleBiomedical optics express2022

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

Sifan Lin, Ze Ke, Kunxing Liu, Siqi Zhu, Zhen Li, Hao Yin, Zhenqiang Chen

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Formulation andCurrent pharmaceutical design · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sifan LinGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou, 510632, China.
Ze KeGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou, 510632, China.
Kunxing LiuGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou, 510632, China.
Siqi ZhuGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou, 510632, China.
Zhen LiGuangdong Provincial Engineering Research Center of Crystal and Laser Technology, Guangzhou, 510632, China.
Hao YinGuangdong Provincial Engineering Research Center of Crystal and Laser Technology, Guangzhou, 510632, China.
Zhenqiang ChenGuangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications, Guangzhou, 510632, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gross chromatin imbalance and high DNA content are distinct features of various types of cancer cells. However, severe inflammation can also produce similar symptoms in cells. In this study, normal, inflammatory, and carcinoma hepatic cells were stained with 4',6-diamidino-2-phenylindole (DAPI) and investigated by hyperspectral microscopy. DAPI is a DNA-sensitive fluorochrome. Therefore, the differences in the cellular DNA of the samples can be revealed by the corresponding fluorescence. Our experimental results demonstrate that although chromosomal disorder and high DNA content both occur in severely inflammatory and carcinoma hepatic cells, there is still a slight difference in their DNA, making their fluorescent intensity and even their spectral shapes distinguishable. Based on these spectral features, we developed a method for the precise identification of normal, inflammatory, and carcinoma hepatic cells in the field of view. The identification accuracy for these three types of cells was 99.8%. We believe that examination that combines DAPI staining with hyperspectral microscopy is a potential method for the identification and investigation of various types of cancer tissues.

Identifiers

PMID35519237
PMCPMC9045905
OpenAlexW4220663806

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.