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储存角膜内皮的自动三图像分析

Automated tri-image analysis of stored corneal endothelium.

作者信息

Gain P, Thuret G, Kodjikian L, Gavet Y, Turc P H, Theillere C, Acquart S, Le Petit J C, Maugery J, Campos L

机构信息

Ophthalmology Department, Bellevue Hospital, 25 Bd Pasteur, 42055 Saint-Etienne Cedex 2, France.

出版信息

Br J Ophthalmol. 2002 Jul;86(7):801-8. doi: 10.1136/bjo.86.7.801.

Abstract

BACKGROUND

Endothelial examination of organ culture stored corneas is usually done manually and on several mosaic zones. Some banks use an image analyser that takes account of only one zone. This method is restricted by image quality, and may be inaccurate if endothelial cell density (ECD) within the mosaic is not homogeneous. The authors have developed an analyser that has tools for automatic error detection and correction, and can measure ECD and perform morphometry on multiple zones of three images of the endothelial mosaic.

METHODS

60 human corneas were divided into two equal groups: group 1 with homogeneous mosaics, group 2 with heterogeneous ones. Three standard microscopy video images of the endothelium, graded by quality, were analysed either in isolation (so called mono-image analysis) or simultaneously (so called tri-image analysis), with 50 or 300 endothelial cells (ECs) counted. The automated analysis was compared with the manual analysis, which concerned 10 non-adjacent zones and about 300 cells. For each analysis method, failures and durations were studied according to image quality.

RESULTS

All corneas were able to undergo analysis, in about 2 or 7.5 minutes for 50 and 300 ECs respectively. The tri-image analysis did not increase analysis time and never failed, even with mediocre images. The tri-image analysis of 300 ECs was always most highly correlated with the manual count, particularly in the heterogeneous cornea group (r=0.94, p<0.001) and prevented serious count errors.

CONCLUSIONS

This analyser allows reliable and rapid analysis of ECD, even for heterogeneous endothelia mosaics and mediocre images.

摘要

背景

对器官培养保存的角膜进行内皮检查通常是手动操作,且针对多个镶嵌区域。一些角膜库使用仅考虑一个区域的图像分析仪。这种方法受图像质量限制,如果镶嵌区域内的内皮细胞密度(ECD)不均匀,可能会不准确。作者开发了一种分析仪,它具有自动错误检测和校正工具,并且可以对内皮镶嵌的三张图像的多个区域测量ECD并进行形态测量。

方法

60个人类角膜被分为两个相等的组:第1组为镶嵌均匀的角膜,第2组为镶嵌不均匀的角膜。对三张质量分级的内皮标准显微镜视频图像分别进行单独分析(即所谓的单图像分析)或同时分析(即所谓的三图像分析),计数50个或300个内皮细胞(EC)。将自动分析与手动分析进行比较,手动分析涉及10个非相邻区域和约300个细胞。对于每种分析方法,根据图像质量研究失败情况和分析时长。

结果

所有角膜都能够进行分析,分别计数50个和300个EC时,分析时间约为2分钟或7.5分钟。三图像分析不会增加分析时间,即使图像质量一般也从未失败。对300个EC进行的三图像分析与手动计数的相关性始终最高,尤其是在镶嵌不均匀的角膜组中(r = 0.94,p < 0.001),并防止了严重的计数错误。

结论

即使对于镶嵌不均匀的内皮和质量一般的图像,这种分析仪也能可靠且快速地分析ECD。

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