• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

神经内分泌肿瘤的核图像分析研究

Nuclear image analysis study of neuroendocrine tumors.

作者信息

Park Meeja, Baek Taehwa, Baek Jongho, Son Hyunjin, Kang Dongwook, Kim Jooheon, Lee Hyekyung

机构信息

Department of Pathology, Eulji University Hospital, Eulji University School of Medicine, Daejeon, Korea.

出版信息

Korean J Pathol. 2012 Feb;46(1):38-41. doi: 10.4132/KoreanJPathol.2012.46.1.38. Epub 2012 Feb 23.

DOI:10.4132/KoreanJPathol.2012.46.1.38
PMID:23109976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3479698/
Abstract

BACKGROUND

There is a subjective disagreement about nuclear chromatin in the field of pathology. Objective values of red, green, and blue (RGB) light intensities for nuclear chromatin can be obtained through a quantitative analysis using digital images.

METHODS

We examined 10 cases of well differentiated neuroendocrine tumors of the rectum, small cell lung carcinomas, and moderately differentiated squamous cell lung carcinomas respectively. For each case, we selected 30 representative cells and captured typical microscopic findings. Using an image analyzer, we determined the longest nuclear line profiles and obtained graph files and Excel data on RGB light intensities. We assessed the meaningful differences in graph files and Excel data among the three different tumors.

RESULTS

The nucleus of hematoxylin and eosin-stained tumor cells was expressed as a combination of RGB light sources. The highest intensity was from blue, whereas the lowest intensity was from green. According to the graph files, green showed the most noticeable change in the light intensity, which is consistent with the difference in standard deviations.

CONCLUSIONS

The change in the light intensity for green has an important implication for differentiating between tumors. Specific features of the nucleus can be expressed in specific values of RGB light intensities.

摘要

背景

病理学领域对于核染色质存在主观分歧。通过使用数字图像进行定量分析,可以获得核染色质红色、绿色和蓝色(RGB)光强度的客观值。

方法

我们分别检查了10例直肠高分化神经内分泌肿瘤、小细胞肺癌和中分化肺鳞状细胞癌。对于每例病例,我们选择30个代表性细胞并获取典型的显微镜检查结果。使用图像分析仪,我们确定了最长的核线轮廓,并获得了关于RGB光强度的图形文件和Excel数据。我们评估了三种不同肿瘤在图形文件和Excel数据方面的有意义差异。

结果

苏木精和伊红染色的肿瘤细胞核表现为RGB光源的组合。最高强度来自蓝色,而最低强度来自绿色。根据图形文件,绿色在光强度方面显示出最明显的变化,这与标准差的差异一致。

结论

绿色光强度的变化对于区分肿瘤具有重要意义。细胞核的特定特征可以通过RGB光强度的特定值来表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4995/3479698/5878e2da41e6/kjpathol-46-38-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4995/3479698/5878e2da41e6/kjpathol-46-38-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4995/3479698/5878e2da41e6/kjpathol-46-38-g001.jpg

相似文献

1
Nuclear image analysis study of neuroendocrine tumors.神经内分泌肿瘤的核图像分析研究
Korean J Pathol. 2012 Feb;46(1):38-41. doi: 10.4132/KoreanJPathol.2012.46.1.38. Epub 2012 Feb 23.
2
Hue-saturation-density (HSD) model for stain recognition in digital images from transmitted light microscopy.用于透射光显微镜数字图像中染色识别的色调-饱和度-密度(HSD)模型。
Cytometry. 2000 Apr 1;39(4):275-84.
3
Difference of the Nuclear Green Light Intensity between Papillary Carcinoma Cells Showing Clear Nuclei and Non-neoplastic Follicular Epithelia in Papillary Thyroid Carcinoma.甲状腺乳头状癌中细胞核呈透明状的乳头状癌细胞与非肿瘤性滤泡上皮细胞核绿色荧光强度的差异。
J Pathol Transl Med. 2016 Sep;50(5):355-60. doi: 10.4132/jptm.2016.05.19. Epub 2016 Aug 22.
4
Image analysis techniques. The problem of the quantitative evaluation of thechromatin ultrastructure.图像分析技术。染色质超微结构定量评估的问题。
Cytotechnology. 1991 Feb;5(Suppl 1):107-10. doi: 10.1007/BF00736824.
5
Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.使用深度学习开发和分析前列腺核心活检图像的计算苏木精和伊红染色,用于肿瘤诊断。
JAMA Netw Open. 2020 May 1;3(5):e205111. doi: 10.1001/jamanetworkopen.2020.5111.
6
Quantification of immunohistochemical staining by color translation and automated thresholding.通过颜色转换和自动阈值化对免疫组织化学染色进行定量分析。
Anal Quant Cytol Histol. 1997 Apr;19(2):107-13.
7
Color image analysis of cervical neoplasia using RGB computer color specification.
Anal Quant Cytol Histol. 2002 Oct;24(5):289-94.
8
Objective colour analysis from digital images as a nuclear forensic tool.目的 数字图像的客观色彩分析作为一种核取证工具。
Forensic Sci Int. 2021 Feb;319:110678. doi: 10.1016/j.forsciint.2020.110678. Epub 2020 Dec 25.
9
Quantitative evaluation of digital-image enhancement during heads-up surgery.头高脚低位手术中数字图像增强的定量评估。
Sci Rep. 2019 Nov 4;9(1):15931. doi: 10.1038/s41598-019-52492-z.
10
Diagnostic findings of bronchial brush cytology for pulmonary large cell neuroendocrine carcinomas: comparison with poorly differentiated adenocarcinomas, squamous cell carcinomas, and small cell carcinomas.肺大细胞神经内分泌癌支气管刷检细胞学的诊断结果:与低分化腺癌、鳞状细胞癌和小细胞癌的比较
Cancer. 2003 Aug 25;99(4):247-54. doi: 10.1002/cncr.11220.

引用本文的文献

1
Difference of the Nuclear Green Light Intensity between Papillary Carcinoma Cells Showing Clear Nuclei and Non-neoplastic Follicular Epithelia in Papillary Thyroid Carcinoma.甲状腺乳头状癌中细胞核呈透明状的乳头状癌细胞与非肿瘤性滤泡上皮细胞核绿色荧光强度的差异。
J Pathol Transl Med. 2016 Sep;50(5):355-60. doi: 10.4132/jptm.2016.05.19. Epub 2016 Aug 22.

本文引用的文献

1
Digital cytology: current state of the art and prospects for the future.数字细胞学:当前技术水平与未来展望
Acta Cytol. 2011;55(3):227-38. doi: 10.1159/000324734. Epub 2011 Apr 27.
2
Impact of digital image manipulation in cytology.数字图像处理在细胞学中的影响。
Arch Pathol Lab Med. 2009 Jan;133(1):57-61. doi: 10.5858/133.1.57.
3
Automated image analysis in histopathology: a valuable tool in medical diagnostics.组织病理学中的自动图像分析:医学诊断中的一项重要工具。
Expert Rev Mol Diagn. 2008 Nov;8(6):707-25. doi: 10.1586/14737159.8.6.707.
4
Image standards in tissue-based diagnosis (diagnostic surgical pathology).基于组织的诊断中的图像标准(诊断外科病理学)。
Diagn Pathol. 2008 Apr 18;3:17. doi: 10.1186/1746-1596-3-17.
5
Digital imaging guidelines for pathology: a proposal for general and academic use.病理学数字成像指南:通用及学术用途提案
Adv Anat Pathol. 2003 Mar;10(2):96-100. doi: 10.1097/00125480-200303000-00004.
6
Spectral morphometric characterization of breast carcinoma cells.乳腺癌细胞的光谱形态计量学特征
Br J Cancer. 1999 Mar;79(9-10):1613-9. doi: 10.1038/sj.bjc.6690257.
7
Chromatin texture signatures in nuclei from prostate lesions.前列腺病变细胞核中的染色质纹理特征
Anal Quant Cytol Histol. 1998 Oct;20(5):407-16.
8
Nuclear chromatin texture in prostatic lesions. II. PIN and malignancy associated changes.
Anal Quant Cytol Histol. 1998 Oct;20(5):397-406.
9
Nuclear chromatin texture in prostatic lesions. I. PIN and adenocarcinoma.
Anal Quant Cytol Histol. 1998 Oct;20(5):389-96.
10
The AutoPap system for primary screening in cervical cytology. Comparing the results of a prospective, intended-use study with routine manual practice.用于宫颈细胞学初筛的自动巴氏涂片系统。将一项前瞻性、预期用途研究的结果与常规手工操作结果进行比较。
Acta Cytol. 1998 Jan-Feb;42(1):214-20. doi: 10.1159/000331549.