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胃癌的自体荧光图像分析 被引量:5

Autofluorescence Imaging Analysis of Gastric Cancer
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摘要 探讨胃癌组织显微自体荧光图像的特征表现。方法:采用氖离子(Ar+)激光(激发波长 488nm)和氦氖(He-Ne)激光(激发波长543 nm)的双通道法激光扫描共聚焦显微镜对16例胃癌手术标本进行自体荧光图像分析,井作自身对照研究。结果:胃正常组织各层的显微自体荧光图像均以绿色荧光为主。胃癌的显微自体荧光图像则红色荧光强度明显增加,并可见棕红色区,其显示率达100%。结论:棕红色区是胃癌在显微自体荧光图像上的特征表现,自体荧光图像分析是胃癌诊断的有效方法。 Background/Aims: To investigate the characteristics of autofluorescence image in gastric can- cer. Methods: A double-channel laser scanning confocal microscopy with Argon ion laser(excitation wavelength 488 nm) and Helium-Neon laser(excitation wavelength 543 nm) were used to detect the autofluorescence from 16 surgical specimens of gastric cancer and corresponding normal tissue. Re- sults: Autofluorescence emitted from normal gastric tissue appeared as a green image. The intensity of red color increased obviously in all gastric cancer tissue(100%) after illuminatin and it appeared as a brown reddish image. Conclusions: Brown reddish image is the characteristics of autofluorescence in gastric cancer excited by Argon ion laser and Helium-Neon laser with a double-channel laser scanning confocal microscope. Autofluorescence imaging analysis is useful in the diagnosis of gastric cancer.
出处 《胃肠病学》 2002年第1期11-13,共3页 Chinese Journal of Gastroenterology
关键词 胃肿瘤 自体荧光图像 激光扫描共聚值显微镜 Stomach Neoplasms Fluorescence Microscopy, Confocal
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