[1]马浩林,李 军,覃炜玲,等.图像识别技术在血浆EB病毒抗体间接免疫荧光检测中的应用研究[J].现代检验医学杂志,2026,41(01):75-79+127.[doi:10.3969/j.issn.1671-7414.2026.01.015]
　MA Haolin,LI Jun,QIN Weiling,et al.Application of Image Recognition Technology Epstein-Barr Virus Antibodies in Plasma via Indirect Immunofluorescence Detection[J].Journal of Modern Laboratory Medicine,2026,41(01):75-79+127.[doi:10.3969/j.issn.1671-7414.2026.01.015]
点击复制

图像识别技术在血浆EB病毒抗体间接免疫荧光检测中的应用研究()

《现代检验医学杂志》[ISSN:/CN:]

卷:
第41卷
期数:
2026年01期
页码:
75-79+127
栏目:
论著
出版日期:
2026-01-15

文章信息/Info

Title:
Application of Image Recognition Technology Epstein-Barr Virus Antibodies in Plasma via Indirect Immunofluorescence Detection
文章编号:
1671-7414（2026）01-075-06
作者:
马浩林1，李 军2，覃炜玲2，冀火金2，梁 俊1，汤敏中1,2
1.桂林医学院附属医院，广西桂林 541000;2.梧州市红十字会医院，鼻咽癌分子流行病学重点实验室，广西梧州 543002
Author(s):
MA Haolin1，LI Jun2，QIN Weiling2，JI Huojin2，LIANG Jun1，TANG Minzhong1,2
1.the Affiliated Hospital of Guilin Medical University,Guangxi Guilin 541000, China;2.Wuzhou Red Cross Hospital, Key Laboratory of Nasopharyngeal Carcinoma Molecular Epidemiology, Guangxi Wuzhou 543002, China
关键词:
EB病毒抗体; 间接免疫荧光法; ImageJ; 图像识别
分类号:
R373.11；Q503
DOI:
10.3969/j.issn.1671-7414.2026.01.015
文献标志码:
A
摘要:
目的该研究旨在探讨图像识别软件在血浆EB病毒（EBV）抗体荧光免疫检测自动化分析中的应用。方法选取2022年9月～2023年10月就诊于梧州市红十字会医院病理确诊的鼻咽癌患者86例作为鼻咽癌组，非鼻咽癌干扰对照样本45例作为干扰对照组，健康体检人群170例作为健康体检组。通过间接免疫荧光法检测入组对象血浆EBV免疫球蛋白A（IgA）/EBV衣壳抗原(VCA)抗体水平，并利用ImageJ软件进行图像分析和抗体滴度推算，将结果与手工法进行比较。结果在EBV免疫荧光检测定量分析中，健康体检组和干扰对照组的秩和检验结果差异无统计学意义（Z=-1.633、-0.631，均P>0.05），而在鼻咽癌组中的数据差异具有统计学意义（Z=-6.498,P<0.0001）。在定性数据分析中，基于图像识别的技术与手工法在三组样本中结果具有高度的一致性（χ2=137.286、63.202、44.083,均P>0.05）。结论基于ImageJ的图像识别技术应用于免疫荧光分析中可以定量地得出抗体的荧光强度及滴度，其相比于手工法的优势在于自动化，且结果分析更为客观，具有较高的临床应用价值。
Abstract:
Objective This study was designed to evaluate the implementation of computer vision algorithms in automated fluorescence immunoassay analysis for Epstein-Barr virus (EBV) antibody detection in plasma samples. Methods 86 cases of pathologically confirmed nasopharyngeal cancer patients in Wuzhou Red Cross Hospital from September 2022 to October 2023 were recruited as the nasopharyngeal cancer group, 45 non-nasopharyngeal cancer interfering control samples were recruited as the interference control group, and 170 cases of healthy physical examination individuals were recruited as the healthy physical examination group. Plasma samples were collected from the study population, and EBV immunoglobulin A(IgA)/EBV capsid antigen (VCA) antibodies were detected by indirect immunofluorescence, and ImageJ software was used for image analysis and antibody titer imputation, and the results were compared with the manual titration method. Results Qualitative analysis of EBV immunofluoresence assay revealed no significant difference between the healthy physical examination group and the interference control group in the rank-sun test (Z=-1.633, -0.631, all P >0.05). However, a statstically significant difference was observed in the nasopharyngeal carcinoma group(Z=-6.498, P<0.000 1). For qualitative data analysis, the image recognition-based technique demonstrated high concordance with the manual method across all three sumple group (χ2=137.286, 63.202, 44.083, all P>0.05). Conclusions Based on the image recognition analysis with ImageJ, it is possible to quantitatively evaluate the fluorescence intensity and titer of antibodies. The advantages of this method that overcomethe manual method are its automation and more robust results, making it highly valuable for research and clinical applications.

参考文献/References:

[1] YU H, ROBERTSON E S. Epstein-Barr virus history and pathogenesis[J]. Viruses, 2023, 15(3): 714.
[2] DAMANIA B, KENNEY S C, RAAB-TRAUB N. Ep-stein-Barr virus: biology and clinical disease[J]. Cell, 2022, 185(20): 3652-3670.
[3] 陈洁,梁树铭,刘丽婷,等.基于EB病毒特异性标志物的鼻咽癌早期诊断和个体化综合治疗[J].广西医科大学学报,2024,41(9):1289-1295. CHEN J, LIANG S M, LIU L T, et al. Early diagnosis and personalized comprehensive treatment of nasopha-ryngeal carcinoma based on Epstein-Barr virus-specific markers[J]. Journal of Guangxi Medical University, 2024, 41(9): 1289-1295.
[4] 薛玉峰,张会平,王芳,等.鼻咽癌患者血清miR-144-3p及miR-151-3p的表达水平及临床价值[J].现代检验医学杂志,2021,36(5):65-68. XUE Y F, ZHANG H P, WANG F, et al. Expression and clinical value of serum miR-144-3p and miR-151-3p levels in patients with nasopharyngeal carcinoma[J]. Journal of Modern Laboratory Medicine, 2021, 36(5):65-68.
[5] 张玲,刘杰,王臣玉,等.EB病毒Rta优势表位抗原的克隆表达及在应用ELISA诊断鼻咽癌中的价值[J].现代检验医学杂志,2020,35(5):1-4, 12. ZHANG L, LIU J, WANG C Y, et al. Cloning and ex-pression of dominant epitope antigen of Epstein-Barr virus Rta protein and its application in the diagnosis of nasopharyngeal carcinoma by ELISA[J]. Journal of Modern Laboratory Medicine, 2020, 35(5): 1-4, 12.
[6] 全国儿童EB病毒感染协作组,中华实验和临床病毒学杂志编辑委员会.EB病毒感染实验室诊断及临床应用专家共识[J].中华实验和临床病毒学杂志, 2018,32(1):2-8. National Working Group for Children’s EB Virus Infec-tion, Editorial Board of Chinese Journal of Experimen-tal and Clinical Virology. Expert consensus on labora-tory diagnosis and clinical application of Epstein-Barr virus infection[J]. Chinese Journal of Experimental and Clinical Virology, 2018, 32(1): 2-8.
[7] LEE A W M, LEE V H F, NG W T, et al. A systematic review and recommendations on the use of plasma EBV DNA for nasopharyngeal carcinoma[J]. European Journal of Cancer (Oxford, England: 1990), 2021, 153:109-122.
[8] KASIFOGLU N, OZ S, DINLEYICI E C, et al. Comparison of methods used for the diagnosis of Ep-stein-Barr virus infections in children[J]. Polish Journal of Microbiology, 2018, 67(1): 81-88.
[9] 李俊豪,韩冠华,林晓涛,等.基于微流控技术的磁免疫荧光法在EB病毒检测中的应用[J].色谱,2022, 40(4):372-383. LI J H, HAN G H, LIN X T, et al. Application of mag-netic immunofluorescence assay based on microfluidic technology to detection of Epstein-Barr virus[J]. Chi-nese Journal of Chromatography, 2022, 40(4): 372-383.
[10] GAHM N A, RUEDEN C T, EVANS E L, et al. New extensibility and scripting tools in the ImageJ ecosys-tem[J]. Current Protocols, 2021, 1(8): e204.
[11] SU Z Y, SIAK P Y, LEONG CO, et al. The role of Ep-stein-Barr virus in nasopharyngeal carcinoma[J]. Fron-tiers in Microbiology, 2023, 14: 1116143.
[12] SU Z Y, SIAK P Y, LWIN Y Y, et al. Epidemiology of nasopharyngeal carcinoma: current insights and future outlook[J]. Cancer and Metastasis Reviews, 2024, 43(3): 919-939.
[13] MA L, WANG T M, HE Y Q, et al. Multiplex assays reveal anti-EBV antibody profile and its implication in detection and diagnosis of nasopharyngeal car-cinoma[J]. International Journal of Cancer, 2024, 155(10): 1874-1885.
[14] 游民黎,曹超羽,府伟灵,等.人工智能在检验医学医疗决策系统中的应用[J].国际检验医学杂志,2025, 46(1):1-6. YOU M L, CAO C Y, FU W L, et al. Application of artificial intelligence-based medical decision-making systems in laboratory medicine[J]. International Journal of Laboratory Medicine, 2025, 46(1): 1-6.
[15] SCHINDELIN J, ARGANDA-CARRERAS I, FRISE E, et al. Fiji: an open-source platform for biological-image analysis[J]. Nature Methods, 2012, 9(7): 676-682.
[16] STOSSI F, SINGH P K. Basic image analysis and ma-nipulation in ImageJ/Fiji[J]. Current Protocols, 2023, 3(7): e849.
[17] SCHROEDER A B, DOBSON E T A, RUEDEN C T, et al. The ImageJ ecosystem: open-source software for image visualization, processing, and analysis[J]. Protein Science, 2021, 30(1): 234-249.
[18] CRUZ-COSME R, ZHANG J T, LIU D X, et al. A novel diG motif in ORF3a protein of SARS-Cov-2 for intracellular transport[J]. Frontiers in Cell and Devel-opmental Biology, 2022, 10: 1011221.
[19] DO COUTO N F, QUEIROZ-OLIVEIRA T, HORTA M F, et al. Measuring intracellular vesicle density and dispersion using fluorescence microscopy and ImageJ/Fiji[J]. Bio-Protocol, 2020, 10(15): e3703.
[20] HANDALA L, FIORE T, ROUILL? Y, et al. QuantIF:an ImageJ macro to automatically determine the per-centage of infected cells after immunofluorescence[J]. Viruses, 2019, 11(2): 165.
[21] PICCININI F, TAZZARI M, TUMEDEI M M, et al. Data science for health image alignment: a user-friendly open-source ImageJ/Fiji plugin for aligning multimodality/im-munohistochemistry/immunofluorescence 2D microscopy images[J]. Sensors , 2024, 24(2): 451.

相似文献/References:

[1]靳庆娥,苏建荣,乌姗娜,等.2015年北京地区成人急性呼吸道感染9种病原体IgM抗体检测分析[J].现代检验医学杂志,2017,32(02):157.[doi:10.3969/j.issn.1671-7414.2017.02.044]
　JIN Qing-e,SU Jian-rong,WU Shan-na,et al.Analysis of IgM Antibody of Nine Acute Respiratory Tract Infection Pathogens in Adults During 2015 in Beijing Area[J].Journal of Modern Laboratory Medicine,2017,32(01):157.[doi:10.3969/j.issn.1671-7414.2017.02.044]

备注/Memo

备注/Memo:
基金项目：国家自然科学基金地区基金项目（81860503）；梧州市科技计划项目（201501036）。
作者简介：马浩林（1998-），男，硕士研究生，检验技师，研究方向：EB病毒抗原表位，E-mail：haolin080511@163.com。
通讯作者：汤敏中（1974-），博士，主任技师，研究方向：免疫遗传学及肿瘤防治技术，E-mail：gxtom@163.com。
更新日期/Last Update: 2026-01-15