A new video image analysis system to study red blood cell dynamics and oxygenation in capillary networks
A new video image analysis system to study red blood cell dynamics and oxygenation in capillary networks
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DOI：
10.1080/10739680591003332
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发表时间：
2005-09-01
期刊：
影响因子：
2.4
通讯作者：
Ellis, CG
中科院分区：
文献类型：
--
作者：
Japee, SA;Pittman, RN;Ellis, CG
目的：研制一种毛细管氧运输测量分析系统（MASCOT），用于研究毛细血管网络中的红细胞动力学和氧合作用。该系统可以分析毛细血管的几何形状和形态，并提供毛细血管参数的值，如直径和段长度。它还可以作为毛细管红细胞流动特性的分析工具，包括BBC速度、线密度和供应率。此外，该系统提供了一种测定红细胞中血红蛋白氧饱和度的方法，通过分析包含两个波长图像的同步录像带，可以量化单个红细胞的氧含量。方法：采用双摄像头视频显微系统，在420 nm（等吸波）和436 nm（氧敏）两个波长下对BBC流进行录像。420纳米记录用于根据光强度波动的变化生成图像，这有助于识别给定视场中的毛细血管，这些毛细血管处于锐利焦点中，并显示被等离子体间隙分隔的单个红细胞的流动。定义了封闭所需毛细管的感兴趣区域，并捕获了固定数量的两个波长的连续视频帧。下一个。生成一个差值图像，描绘出RBC柱，其宽度用于估计毛细血管的内径。420纳米图像也用于确定毛细血管内每个红细胞的位置和质心。生成一个时空图像来计算RBC的平均速度。线密度计算为每单位长度的毛细血管段红细胞的数量。在两个波长下计算每个BBC的平均光密度（OD），每个cell的平均SO2由OD436/OD420确定。结果和结论：MASCOT是一个健壮且灵活的系统，需要简单的硬件，包括一个配备视听模块的SGI工作站，一个VCR和一个示波器。由于新系统提供了整个毛细血管段的单个细胞信息，作者认为使用MASCOT获得的结果将比以前的系统获得的结果更准确。由于它的灵活性和易于扩展到其他应用，MASCOT有潜力广泛应用于毛细管氧运输测量的分析工具。
Objective: The authors present a Measurement and Analysis System for Capillary Oxygen Transport (MASCOT) to study red blood cell (RBC) dynamics and oxygenation in capillary networks. The system enables analysis of capillaries to study geometry and morphology and provides values for capillary parameters such as diameter and segment length. It also serves as an analysis tool for capillary RBC flow characteristics, including BBC velocity, lineal density, and supply rate. Furthermore, the system provides a means of determining the oxygen saturation of hemoglobin contained within RBCs, by analysis of synchronized videotapes containing images at two wavelengths, enabling the quantification of the oxygen content of individual RBCs.Methods: Video recordings of BBC flow at two wavelengths, 420 nm (isosbestic) and 436 nm (oxygen sensitive), are made using a dual camera video microscopy system. The 420-nm recording is used to generate images based on the variance of light intensity fluctuations that help to identify capillaries in a given field of view that are in sharp focus and exhibit flow of individual RBCs separated by plasma gaps. A region of interest enclosing the desired capillary is defined and a fixed number of successive video frames at the two wavelengths are captured. Next. a difference image is created, which delineates the RBC column, whose width is used to estimate the internal diameter of the capillary. The 420-nm images are also used to identify the location and centroid of each RBC within the capillary. A space-time image is generated to compute the average RBC velocity. Lineal density is calculated as the number of RBCs per unit length of a capillary segment. The mean optical density (OD) of each BBC is calculated at both wavelengths, and the average SO2 for each cell is determined from OD436/OD420.Results and Conclusions: MASCOT is a robust: and flexible system that requires simple hardware, including a SGI workstation fitted with an audio-visual module, a VCR, and an oscilloscope. Since the new system provides information on an individual cell basis from entire capillary segments, the authors believe that results obtained using MASCOT will be more accurate than those obtained from previous systems. Due to its flexibility and ease of extension to other applications, MASCOT has the potential to be applied widely as an analysis tool for capillary oxygen transport measurements.