扫描激光成像雷达图像处理显示系统设计

图像显示系统是激光成像雷达系统的重要组成部分，同时也是分析和评价激光成像雷达性能指标的重要工具．激光成像雷达图像处理显示系统设计了强度像显示和数据分析模块、距离像显示和数据分析模块以及图像数据的存储模块．它可以显示雷达探测目标得到的强度像和距离像，并对所取得的数据进行分析，评价激光雷达的性能，指导激光雷达的设计和研究．     

红外热像仪成像评估系统设计

红外热像仪在军民应用领域发展迅速。如何客观地评价红外热像仪成像效果,为红外热像仪成像性能提供定量的数学描述,同时也为研究红外成像系统的图像清晰度、目标探测距离和目标跟踪性能提供支撑依据,成为必须要解决的问题。本文提出的红外热像仪成像评估(质量评价)系统具有红外图像数据采集与处理功能,配合红外成像评估的靶标系统（由黑体、辐射靶标控制台、准直光学系统、数显精密转台组成）进行红外图像数据测试评估。设计了图像评估的主要性能指标,并提出了数学模型及其实现的步骤,其中包括图像不均匀性(Non-uniformity,NU)、信号传递函数(Signal Transfer Function, SiTF)、噪声等效温差（Noise Equivalent Temperature Difference, NETD）、角线性度（Angular Linearity, AL）、目标成像定位角误差（Target Imaging Positioning Angle Error, TIPAE）等主要评价技术指标。测试结果表明,该系统的性能非常优越,成为红外热像仪研制过程中必备的调试、测试设备。     

Special Issue on Molecular Imaging: Emerging Technology and Biomedical Applications

Presents an introduction to a special issue on molecular imaging: emerging technology and biomedical applications. The paper illustrates the recent advances in molecular imaging, including aspects of basic molecular/genetic research up to in vivo human imaging. Developments of unique imaging technology to unveil molecular events are at the core of this research activity. In turn, such new techniques produce biomedical findings that could not be found by conventional imaging technology. The papers in this issue provide perspectives of this research field and the emergence of molecular imaging and applications.     

用于生物医学成像的多通道流水线数字化电路设计

针对生物医学成像中前端读出电路多通道以及要求高速数字化的特点,设计了一个16通道的流水线数字化电路.整个电路由模拟多路选择器、单端转差分电路、8-bit 25Ms/s 1.5bit/stage流水线ADC以及数据输出模块组成.模数转换和数据输出在两相邻时间窗口内采用流水线方式进行.电路采用TSMC 0.18μm mixed signalCMOS工艺实现.电路仿真结果表明,流水线ADC的DNL为-0.62/0.67LSB,INL为-0.39/0.72LSB,SNR为45.99dB,ENOB为6.03bit,该电路能够在两个相邻时间窗口内完成16通道的信号数字化并输出,满足系统设计要求.     

Biomedical Micro-/Nanomotors: Design,Imaging, and Disease Treatment

Untethered mobile micro-/nanomotors (MNMs), as newly-emerging attractive and versatile nanotechnologies, are expected to be the next-generation disease treatment tools, for breaking through the limitations of conventional passive drug delivery manner. However, the advances in these fascinating platforms have been hampered by the complexity of the biological environment and the particularity of disease microenvironment. Consequently, specific design strategies and clinical imaging techniques are essential to ensure the high-efficiency of biomedical MNMs on actuation, targeting, localization, and therapy when performing assigned in vivo tasks. This review thus comprehensively addresses three aspects of biomedical MNMs, including design, imaging, and disease treatment, highlighting the intelligent MNMs with biomimetic functionality and chemotactic capability, emphasizing the applicability of different imaging techniques, and focusing on various proof-of-concept studies based on physiological characteristics for the treatment of major diseases. In addition, the key challenges and limitations of current biomedical MNMs are addressed, which may inspire future research and facilitate translation toward clinical treatment.     

Enhancement of the Krylov Subspace Regularization for Microwave Biomedical Imaging

Although Krylov subspace methods provide fast regularization techniques for the microwave imaging problem, they cannot preserve the edges of the object being imaged and may result in an oscillatory reconstruction. To suppress these spurious oscillations and to provide an edge-preserving regularization, we use a multiplicative regularizer which improves the reconstruction results significantly while adding little computational complexity to the inversion algorithm. We show the inversion results for a real human forearm assuming the 2-D transverse magnetic illumination and a cylindrical object assuming the 2-D transverse electric illumination.      

蛋白酶荧光探针及新型显微成像技术的生物医学应用

研究上正常生理条件蛋白酶的活化情况仍然存在很多困难,将蛋白酶荧光探针技术和基于各种光学平台的显微成像技术有机地结合起来,可以最大限度地记录活细胞生理条件下蛋白酶活性变化的时空信息.综述了蛋白酶荧光探针技术及其与该类探针应用相关的新型显微成像技术在生物医学光子学领域的应用进展.