红外与激光工程
2022, 51(11): 20220546
Author Affiliations
Abstract
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G4, Canada
The Microchip Imaging Cytometer (MIC) is a class of integrated point-of-care detection systems based on the combination of optical microscopy and flow cytometry. MIC devices have the attributes of portability, cost-effectiveness, and adaptability while providing quantitative measurements to meet the needs of laboratory testing in a variety of healthcare settings. Based on the use of microfluidic chips, MIC requires less sample and can complete sample preparation automatically. Therefore, they can provide quantitative testing results simply using a finger prick specimen. The decreased reagent consumption and reduced form factor also help improve the accessibility and affordability of healthcare services in remote and resource-limited settings. In this article, we review recent developments of the Microchip Imaging Cytometer from the following aspects: clinical applications, microfluidic chip integration, imaging optics, and image acquisition. Following, we provide an outlook of the field and remark on promising technologies that may enable significant progress in the near future.The Microchip Imaging Cytometer (MIC) is a class of integrated point-of-care detection systems based on the combination of optical microscopy and flow cytometry. MIC devices have the attributes of portability, cost-effectiveness, and adaptability while providing quantitative measurements to meet the needs of laboratory testing in a variety of healthcare settings. Based on the use of microfluidic chips, MIC requires less sample and can complete sample preparation automatically. Therefore, they can provide quantitative testing results simply using a finger prick specimen. The decreased reagent consumption and reduced form factor also help improve the accessibility and affordability of healthcare services in remote and resource-limited settings. In this article, we review recent developments of the Microchip Imaging Cytometer from the following aspects: clinical applications, microfluidic chip integration, imaging optics, and image acquisition. Following, we provide an outlook of the field and remark on promising technologies that may enable significant progress in the near future.
microchip microfluidics flow cytometer imaging cytometer biosensors point-of-care testing biomedical engineering Opto-Electronic Advances
2022, 5(11): 210130
1 中国科学院合肥物质科学研究院 医学物理与技术中心, 合肥 230031
2 中国科学技术大学, 合肥 230026
3 中国医科大学, 沈阳 110001
为了实现MicroRNA的快速检测, 设计了一种便携式MicroRNA快速检测仪.基于等温滚环扩增技术, 采用光电检测方法, 检测标志物受激发出的荧光光强, 建立特征荧光分析检测系统.通过改变激发光强度、MicroRNA试剂浓度等参量, 验证了该仪器可测量的MicroRNA的浓度范围为0.01~0.1 μmol, 可检测出的最低检出限为7个拷贝数, MicroRNA浓度与荧光信号强度之间为线性关系(R2=0.999 1).
生物医学工程 医用光学仪器 核酸检测 荧光 弱光探测 滚环扩增 Biomedical engineering Medical optics instrumentation Nucleic acid detection Fluorescence Light detection MicroRNA MicroRNA Rolling circle amplification
1 天津大学 精密仪器与光电子工程学院，天津300072
2 天津市生物医学检测技术和仪器重点实验室，天津300072
为增强乳腺扩散光学层析(Diffuse Optical Tomography, DOT)方法的实用性，提出了一套稳态扩散荧光光学联合断层成像系统与算法.系统采用基于光开关切换的串并混合门控光子计数检测模式，可有效实现测量时间、灵敏度和系统性价比之间的平衡；算法以图形处理器加速的蒙特卡洛光子输运模型为基础，采用了荧光DOT“导航”的血氧DOT图像重建策略，通过利用高对比度荧光DOT的先验位置信息，可有效改善血氧DOT图像重建的不适定性.仿体实验结果表明，与单独DOT方法相比，此联合方法可明显提高图像重建的定位准确度和定量性.
生物医学工程 扩散光学层析 稳态测量 乳腺癌诊断 蒙特卡洛模拟 biomedical engineering diffuse optical tomography steady-state measurement breast tumor diagnosis Monte-Carlo simulation
针对光声成像在实际应用中涉及的采样数据不足, 提出了一种基于全变分法的光声图像重建方法。通过计算重建图像的模拟信号与实际信号的残差来更新图像, 进行迭代以获取重建图像。在迭代重建的过程中引入压缩传感理论中的全变分法, 通过梯度下降法得到全变分最小的图像。通过数值仿真, 模拟了在不足采样情况下的图像重建。结果表明, 全变分重建法的重建效果比滤波反投影法、反卷积重建算法及代数重建算法等3种方法更好。在30个采样点的情况下, 重建图像的峰值信噪比值比上述3种算法的重建结果分别高出30.98, 22.09和8.35 dB。另外, 仿体实验结果也表明该方法能更有效地避免噪声的干扰。
生物医学工程 光声成像 图像重建 全变分法 biomedical engineering photoacoutic tomography image reconstruction total variation method
