开展一种非侵入性方式检测人眼眼白巩膜部位红血球的形状、体积及个体密度等血液指标方法的研究。通过研究眼白巩膜高速图像拍摄方法及高精度眼球运动测量方法,建立毛细血管及红血球图像信息采集方法及分析机制。通过计算机图像处理算法,建立从图像信息中自动提取毛细血管内的红血球的形状、体积及个体密度等信息方法;通过生理学实验采集数据验证非侵入性红血球检测的有效性。非侵入性人类毛细血管内红血球信息采集、图像分析及自动检测方法的建立，不仅能够减轻患者采血的痛苦，降低检查的风险及成本，而且对于贫血症状检查及肝脏、骨髓等部分疾病的早期发现与检测有着重要的医学价值。同时，对探索未来医疗领域中非采血血液检查的可能性等有着积极的意义，符合我国当前医疗改革中提出的“医疗服务精细化”的新需求。

The research is based on the non-invasive detection method for the erythrocytes inside a human’ sclera, including their amounts, volume, shape and other features. The steady and clear image containing both the capillaries and erythrocytes is captured by an ultra-high speed image sampling system and post-processed by a high-precision eyeball movement measuring method. Thus, a brand-new observing and analyzing system can be established. The computer image processing algorithms are applied to automatically obtain the information of amounts, volume, abnormal shape, etc. Furthermore, we intend to conduct experiment to collect data which will confirm the effectiveness of this non-invasive erythrocyte detection method. The non-invasive information gathering operation of red blood cells inside the eyeball capillary as well as the method of visualization, image analysis and automatic detection are of great medical significance to early detection on several diseases, including anemia, liver and osteal diseases. Meanwhile, it plays a positive role in alleviating the patients' suffering from blood sampling, reducing inspection risk and cost as well as revealing the probability of non-blood sampling in the future medical field. It also accords with the new requirement of ‘Medical Service Refinement’ proposed in the current medical reform.