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结合荧光显微镜的计算机图像分析用于体内血脑屏障通透性研究。

Computerised image analysis in conjunction with fluorescence microscopy for the study of blood-brain barrier permeability in vivo.

作者信息

Findling A, Schilling L, Bultmann A, Wahl M

机构信息

Department of Physiology, University of Munich, Germany.

出版信息

Pflugers Arch. 1994 May;427(1-2):86-95. doi: 10.1007/BF00585946.

DOI:10.1007/BF00585946
PMID:7520160
Abstract

The present paper describes a new method using computerised image analysis techniques for quantification of tracer extravasation over the blood-brain barrier as studied by intravital fluorescence microscopy. Cats were equipped with an open cranial window and continuously infused with fluorescein isothiocyanate-labelled dextran (FITC-dextran, mol. wt. 70,000) to maintain a steady plasma concentration. Several cortical fields were recorded in each experiment and the images stored on video tape for off-line analysis. This procedure, which largely eliminates the superficial pial vasculature and allows extraction of the extravasation areas, consists of the following steps: (1) averaging of images, (2) software shading correction based on the original images for compensation of optical non-uniformity, (3) correction of displacement artefacts, (4) intensity adjustment, (5) generation of subtraction images by subtracting the first image of a series from the subsequent ones, (6) median filtering and thresholding, (7) a length recognition algorithm, and (8) elimination of small areas. Compared to the previously described method, step (2) has been newly developed and steps (4) and (8) added to enhance sensitivity for detecting tracer extravasation. The degree of extravasation in a cortical field at a given time point [E(f) value] was calculated as the mean intensity of the remaining pixels. The E(f) is a quantitative value computed by a fully automatised procedure which takes into account the number, as well as the size and intensity, of extravasation areas in a given cortical field. The E(f) values obtained at different times in a series of experiments were averaged to give the E(I) value.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

本文描述了一种新方法,该方法利用计算机图像分析技术,通过活体荧光显微镜对血脑屏障上示踪剂外渗进行定量分析。给猫安装一个开放的颅骨视窗,并持续输注异硫氰酸荧光素标记的葡聚糖(FITC-葡聚糖,分子量70,000)以维持稳定的血浆浓度。每次实验记录几个皮质区域,并将图像存储在录像带上以供离线分析。该程序在很大程度上消除了浅表软脑膜血管系统,并允许提取外渗区域,包括以下步骤:(1)图像平均;(2)基于原始图像的软件阴影校正以补偿光学不均匀性;(3)校正位移伪影;(4)强度调整;(5)通过从后续图像中减去系列中的第一张图像生成减法图像;(6)中值滤波和阈值处理;(7)长度识别算法;(8)消除小区域。与先前描述的方法相比,步骤(2)是新开发的,并且增加了步骤(4)和(8)以提高检测示踪剂外渗的灵敏度。在给定时间点皮质区域的外渗程度[E(f)值]计算为剩余像素的平均强度。E(f)是通过全自动程序计算的定量值,该程序考虑了给定皮质区域中外渗区域的数量、大小和强度。在一系列实验中不同时间获得的E(f)值进行平均以得到E(I)值。(摘要截断于250字)

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本文引用的文献

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Investigation of blood-brain barrier permeability by means of computerized image analysis.
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A versatile video image analysis system for microcirculatory research.一种用于微循环研究的多功能视频图像分析系统。
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