悬浮光力传感技术利用真空环境的光阱实现对微纳尺度机械振子的悬浮和囚禁，将待测物理量转换为光悬浮机械振子运动参数的变化，理论上该振子与外部环境热噪声和振动完全隔绝，具有极高的测量分辨率潜力和易于小型化的独特优势。该技术在精密测量、微观热力学研究、暗物质观测、宏观量子态操控等领域具有广阔的应用前景。首先，阐述了悬浮光力系统中光力与光阱的基础概念和力学测量等基本理论；其次，介绍了其中初始起支、光力增强、位移测量、输出信号标定和等效反馈冷却等关键技术的研究进展，对比分析各子技术的特点，随后列举了悬浮光力传感技术在极弱力、加速度、微观质量、电学量、力矩等物理量测量中的典型应用；最后，总结了该技术的发展趋势，并提出相关建议。

近年来，光载无线通信（RoF）技术已经成为宽带光通信接入网络领域的研究热点，备受业界关注。该技术充分利用了光纤传输的海量带宽和无线通信灵活覆盖的应用优势。在RoF技术的演进发展过程中，多维多阶调制方式能提升系统频带利用率和降低信号收发成本，因此具有重要的科研意义和实用价值。文章综述了传统幅度调制、典型多维多阶调制和若干代表性新型多维多阶调制技术的研究进展，并对RoF系统中多维多阶调制技术的应用前景进行了简略分析。

This study investigated the feasibility of photoacoustic (PA) imaging of bone and characterization of bone features. By conducting the experiments on bovine femoral heads ex vivo, the light and ultrasonic penetration in bones was studied, together with the depth of PA imaging and measurement in bones. Then, the possibility of three-dimensional (3D) PA imaging of bones by raster scanning of the focusing transducer was studied. The micro-computerized tomography images of the bovine ribs with and without ethylenediaminetetraacetic acid (EDTA) treatment indicated that the 3D PA images could present the changes of bone microstructure resulting from the EDTA treatment. By using PA spectral analysis, the bone samples with and without the treatment of EDTA solution can be distinguished, and the microstructures can be characterized. This study was based on the bovine bone whose size is comparable to human bones, suggesting that PA technology can be used as a novel bone diagnostic technique.

The diagnosis of osteoporosis is eventually converted to the measurement of bone mineral density (BMD) in clinical trials. Since our previous work had proved the ability of using photoacoustic spectral analysis (PASA) to efficiently detect osteoporosis, in this contribution, we proposed a fully connected multi-layer deep neural network combined with PASA to semi-quantify BMD values corresponding to varying degrees of bone loss and to further evaluate the degree of osteoporosis. Experiments were carried out on swine femur heads, and the performance of our proposed method is satisfying for future clinical screening.

Osteoporosis is a progressive bone disease, which is characterized by a decrease in the bone mass and deterioration in bone micro-architecture. In theory, photoacoustic (PA) analysis has the potential to obtain the characteristics of the bone effectively. In this study, we try to compare the PA spectral analysis (PASA) method with the quantitative ultrasound (QUS) method in osteoporosis assessment. We compare the quantified parameter slope from the PASA and broadband ultrasound attenuation from QUS among different bone models, respectively. Both the simulation and ex vivo experiment results show that bone with lower bone mineral density has the higher slope in the PASA method. Our comparison study proves that the PASA method has the same efficiency as QUS in osteoporosis assessment.

This work proposes a method to concurrently calibrate multiple acoustic speeds in different mediums with a photoacoustic (PA) and ultrasound (US) dual-modality imaging system. First, physical infrastructure information of the target is acquired through a US image. Then, we repeatedly build PA images around a special target to yield the best focused result by dynamically updating the acoustic speeds in a different medium of the target. With these correct acoustic propagation velocities in the according mediums, we can effectively optimize the PA image quality as the experiments proved, which might benefit future research in biomedical imaging science.