Jaryd R. Christie, Isaac Kong, Laura Mawdsley, Stephanie Milkovich, Ande Doornekamp, Jason Baek, Graham M. Fraser, Christopher G. Ellis, Richard J. Sové
{"title":"测定骨骼肌体内毛细血管红细胞压积、血红蛋白浓度和三维网络几何形状的光学方法","authors":"Jaryd R. Christie, Isaac Kong, Laura Mawdsley, Stephanie Milkovich, Ande Doornekamp, Jason Baek, Graham M. Fraser, Christopher G. Ellis, Richard J. Sové","doi":"10.1111/micc.12751","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The aim of this study was to develop a tool to visualize and quantify hemodynamic information, such as hemoglobin concentration and hematocrit, within microvascular networks recorded in vivo using intravital video microscopy. Additionally, we aimed to facilitate the 3-D reconstruction of the microvascular networks.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Digital images taken from an intravital video microscopy preparation of the extensor digitorum longus muscle in rats for 25 capillary segments were used. The developed algorithm was used to delineate capillaries of interest, calculate the optical density for each pixel in the image, and reconstruct the 3-D capillary geometry using the calculated light path-lengths. Subsequently, the mean corpuscular hemoglobin concentration (MCHC), hemoglobin concentration, and hematocrit for these capillaries were calculated. We evaluated the hematocrit values determined by our methodology by comparing them to those obtained using a previously published method.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The hematocrit values from the proposed optical method were strongly correlated with those calculated using published methods <i>r</i><sup>2</sup>(25) = .92, <i>p</i> < .001, and demonstrated excellent agreement with a mean difference of 1.3% and a coefficient of variation (CV) of 11%. The average MCHC, hemoglobin concentration, and light path-lengths were 23.83 g/dl, 8.06 g/dl, and 3.92 µm, respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The proposed methodology can quantify hemodynamic measurements and produce functional images for visualization of the microcirculation in vivo.</p>\n </section>\n </div>","PeriodicalId":18459,"journal":{"name":"Microcirculation","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2022-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optical method to determine in vivo capillary hematocrit, hemoglobin concentration, and 3-D network geometry in skeletal muscle\",\"authors\":\"Jaryd R. Christie, Isaac Kong, Laura Mawdsley, Stephanie Milkovich, Ande Doornekamp, Jason Baek, Graham M. Fraser, Christopher G. Ellis, Richard J. Sové\",\"doi\":\"10.1111/micc.12751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The aim of this study was to develop a tool to visualize and quantify hemodynamic information, such as hemoglobin concentration and hematocrit, within microvascular networks recorded in vivo using intravital video microscopy. Additionally, we aimed to facilitate the 3-D reconstruction of the microvascular networks.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Digital images taken from an intravital video microscopy preparation of the extensor digitorum longus muscle in rats for 25 capillary segments were used. The developed algorithm was used to delineate capillaries of interest, calculate the optical density for each pixel in the image, and reconstruct the 3-D capillary geometry using the calculated light path-lengths. Subsequently, the mean corpuscular hemoglobin concentration (MCHC), hemoglobin concentration, and hematocrit for these capillaries were calculated. We evaluated the hematocrit values determined by our methodology by comparing them to those obtained using a previously published method.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The hematocrit values from the proposed optical method were strongly correlated with those calculated using published methods <i>r</i><sup>2</sup>(25) = .92, <i>p</i> < .001, and demonstrated excellent agreement with a mean difference of 1.3% and a coefficient of variation (CV) of 11%. The average MCHC, hemoglobin concentration, and light path-lengths were 23.83 g/dl, 8.06 g/dl, and 3.92 µm, respectively.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>The proposed methodology can quantify hemodynamic measurements and produce functional images for visualization of the microcirculation in vivo.</p>\\n </section>\\n </div>\",\"PeriodicalId\":18459,\"journal\":{\"name\":\"Microcirculation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microcirculation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/micc.12751\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microcirculation","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/micc.12751","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 1
摘要
目的本研究的目的是开发一种工具来可视化和量化血液动力学信息,如血红蛋白浓度和红细胞压积,在微血管网络中使用活体视频显微镜记录。此外,我们的目标是促进微血管网络的三维重建。方法采用活体视频显微镜拍摄的大鼠指长伸肌25个毛细血管段的数字图像。该算法用于描绘感兴趣的毛细血管,计算图像中每个像素的光密度,并使用计算的光路长度重建三维毛细血管几何结构。随后,计算这些毛细血管的平均红细胞血红蛋白浓度(MCHC)、血红蛋白浓度和红细胞压积。我们通过将我们的方法确定的红细胞压积值与先前发表的方法获得的值进行比较,从而评估了它们。结果光学方法计算的红细胞压积值与已发表的方法计算的红细胞压积值有很强的相关性,r2(25) = .92, p <.001,并且表现出极好的一致性,平均差为1.3%,变异系数(CV)为11%。平均MCHC、血红蛋白浓度和光路长度分别为23.83 g/dl、8.06 g/dl和3.92µm。结论该方法可以量化血液动力学测量结果,并为体内微循环可视化提供功能图像。
Optical method to determine in vivo capillary hematocrit, hemoglobin concentration, and 3-D network geometry in skeletal muscle
Objective
The aim of this study was to develop a tool to visualize and quantify hemodynamic information, such as hemoglobin concentration and hematocrit, within microvascular networks recorded in vivo using intravital video microscopy. Additionally, we aimed to facilitate the 3-D reconstruction of the microvascular networks.
Methods
Digital images taken from an intravital video microscopy preparation of the extensor digitorum longus muscle in rats for 25 capillary segments were used. The developed algorithm was used to delineate capillaries of interest, calculate the optical density for each pixel in the image, and reconstruct the 3-D capillary geometry using the calculated light path-lengths. Subsequently, the mean corpuscular hemoglobin concentration (MCHC), hemoglobin concentration, and hematocrit for these capillaries were calculated. We evaluated the hematocrit values determined by our methodology by comparing them to those obtained using a previously published method.
Results
The hematocrit values from the proposed optical method were strongly correlated with those calculated using published methods r2(25) = .92, p < .001, and demonstrated excellent agreement with a mean difference of 1.3% and a coefficient of variation (CV) of 11%. The average MCHC, hemoglobin concentration, and light path-lengths were 23.83 g/dl, 8.06 g/dl, and 3.92 µm, respectively.
Conclusion
The proposed methodology can quantify hemodynamic measurements and produce functional images for visualization of the microcirculation in vivo.
期刊介绍:
The journal features original contributions that are the result of investigations contributing significant new information relating to the vascular and lymphatic microcirculation addressed at the intact animal, organ, cellular, or molecular level. Papers describe applications of the methods of physiology, biophysics, bioengineering, genetics, cell biology, biochemistry, and molecular biology to problems in microcirculation.
Microcirculation also publishes state-of-the-art reviews that address frontier areas or new advances in technology in the fields of microcirculatory disease and function. Specific areas of interest include: Angiogenesis, growth and remodeling; Transport and exchange of gasses and solutes; Rheology and biorheology; Endothelial cell biology and metabolism; Interactions between endothelium, smooth muscle, parenchymal cells, leukocytes and platelets; Regulation of vasomotor tone; and Microvascular structures, imaging and morphometry. Papers also describe innovations in experimental techniques and instrumentation for studying all aspects of microcirculatory structure and function.