Japee Shruti A, Pittman Roland N, Ellis Christopher G
Department of Biomedical Engineering, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, 23298, USA.
Microcirculation. 2005 Sep;12(6):489-506. doi: 10.1080/10739680591003332.
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 RBC 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.
Video recordings of RBC 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 RBC is calculated at both wavelengths, and the average SO(2) for each cell is determined from OD(436)/OD(420).
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.
作者介绍一种用于研究毛细血管网络中红细胞动力学和氧合作用的毛细血管氧运输测量与分析系统(MASCOT)。该系统能够对毛细血管进行分析以研究其几何形状和形态,并提供诸如直径和节段长度等毛细血管参数的值。它还可作为分析毛细血管红细胞流动特性的工具,包括红细胞速度、线性密度和供应率。此外,该系统通过分析包含两个波长图像的同步录像带,提供一种确定红细胞内血红蛋白氧饱和度的方法,从而能够对单个红细胞的氧含量进行量化。
使用双摄像头视频显微镜系统对420纳米(等吸收波长)和436纳米(氧敏感波长)两个波长下的红细胞流动进行视频记录。420纳米的记录用于基于光强波动方差生成图像,这有助于在给定视野中识别聚焦清晰且单个红细胞被血浆间隙分隔开而呈现流动的毛细血管。定义一个包含所需毛细血管的感兴趣区域,并在两个波长下捕获固定数量的连续视频帧。接下来创建一个差异图像,该图像勾勒出红细胞柱,其宽度用于估计毛细血管的内径。420纳米的图像还用于识别毛细血管内每个红细胞的位置和质心。生成时空图像以计算平均红细胞速度。线性密度计算为毛细血管节段每单位长度的红细胞数量。在两个波长下计算每个红细胞的平均光密度(OD),并根据OD(436)/OD(420)确定每个细胞的平均SO(2)。
MASCOT是一个强大且灵活的系统,所需硬件简单,包括配备视听模块的SGI工作站、录像机和示波器。由于新系统从整个毛细血管节段提供单个细胞层面的信息,作者认为使用MASCOT获得的结果将比从先前系统获得的结果更准确。由于其灵活性以及易于扩展到其他应用,MASCOT有潜力作为毛细血管氧运输测量的分析工具被广泛应用。