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Troubleshooting digital macro photography for image acquisition and the analysis of biological samples

机译:对数码微距摄影进行故障排除以进行图像采集和生物样品分析

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摘要

For years, image acquisition and analysis have been an important part of life science experiments to ensure the adequate and reliable presentation of research results. Since the development of digital photography and digital planimetric methods for image analysis approximately 20. years ago, new equipment and technologies have emerged, which have increased the quality of image acquisition and analysis. Different techniques are available to measure the size of stained tissue samples in experimental animal models of disease; however, the most accurate method is digital macro photography with software that is based on planimetric analysis. In this study, we described the methodology for the preparation of infarcted rat heart and brain tissue samples before image acquisition, digital macro photography techniques and planimetric image analysis. These methods are useful in the macro photography of biological samples and subsequent image analysis. In addition, the techniques that are described in this study include the automated analysis of digital photographs to minimize user input and exclude the risk of researcher-generated errors or bias during image analysis.
机译:多年来,图像采集和分析一直是生命科学实验的重要组成部分,以确保充分,可靠地呈现研究结果。自从大约20年前开发用于图像分析的数字摄影和数字平面测量方法以来,出现了新的设备和技术,从而提高了图像采集和分析的质量。在疾病的实验动物模型中,可以使用不同的技术来测量染色的组织样本的大小。但是,最准确的方法是使用基于平面分析的软件进行数码微距摄影。在这项研究中,我们描述了在图像采集,数字微距摄影技术和平面图像分析之前准备梗死大鼠心脏和脑组织样品的方法。这些方法可用于生物样品的宏观摄影和后续图像分析。此外,本研究中描述的技术包括对数字照片的自动分析,以最大程度地减少用户输入并排除图像分析过程中研究人员产生的错误或偏差的风险。

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