Photoacoustic imaging (PA) in the second near infrared (NIR‐II) window presents key advantages for deep tissue imaging owing to reduced light scattering and low background signal from biological structures. Here, a thiadiazoloquinoxaline‐based semiconducting polymer (SP) with strong absorption in the NIR‐II region is reported. After encapsulation of SP in Pluronic F127 (F127) followed by removal of excess surfactant, a dual functional polymer system named surfactant‐stripped semiconductor polymeric micelles (SSS‐micelles) are generated with water solubility, storage stability, and high photothermal conversion efficiency, permitting tumor theranostics in a mouse model. SSS‐micelles have a wideband absorption in the NIR‐II window, allowing for the PA imaging at both 1064 and 1300 nm wavelengths. The PA signal of the SSS‐micelles can be detected through 6.5 cm of chicken breast tissue in vitro. In mice or rats, SSS‐micelles can be visualized in bladder and intestine overlaid 5 cm (signal to noise ratio, SNR ≈ 17 dB) and 5.8 cm (SNR over 10 dB) chicken breast tissue, respectively. This work demonstrates the SSS‐micelles as a nanoplatform for deep tissue theranostics.

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We develop a multiscale Eulerian-Lagrangian localized adjoint method for transient linear advectiondiffusion equations with oscillatory coefficients, which arise in mathematical models for describing flow and transport through heterogeneous porous media, composite material design, and other applications.

This paper presents a 3D pose estimation algorithm based on monocular vision. The algorithm relies on the circle target whose radius is known, with the scale condition given, the depth information of the circle can be recovered incompletely, and finally the pose of the target can be estimated by single projection only. Firstly, the circle target has been mapped to be an upright elliptic cone in the pinhole imaging model. Secondly, radius constraint has been applied to recover part depth of the circle target based on the upright elliptic cone. Experimental work concerning the validity and accuracy of this method is presented, furthermore, a application case for robot aided-positioning have been introduced.

Cancer peptide vaccines face challenges for antigen delivery and presentation. In the present work, we develop a self-assembled magnetic micelle delivery system for CD8+ T-cell epitopes that produces strong cellular immune responses. Hydrophobically modified imiquimod R837 and Zn1.15Fe1.85O4 are coencapsulated in the core of Pluronic F127 block copolymer micelles. Magnetic Zn1.15Fe1.85O4 enables externally targeted delivery and enrichment of micelles in lymph nodes. Furthermore, metal ions are found to enhance vaccine immunogenicity. F127 micelles were chemically modified by a self-immolative linker so that antigens are rapidly and reversibly grafted on micelles in an aqueous solution. With the assistance of an external magnetic field, once the magnetic micelles are delivered to lymph nodes and taken up by immune cells, intracellular glutathione cleaves the disulfide bond and releases pristine short peptide antigen. Delivery to lymph nodes is tracked by magnetic resonance and fluorescence imaging. The use of this vaccine system eradicated tumors in a murine tumor model. Thus, integrating multiple functionalities in a single micellar delivery system, including responsive linkage, multiple immunostimulatory molecules, targeted delivery, and bimodal imaging, demonstrates the potential for theranostic approaches to develop a new generation of cancer vaccines.

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The circular target has been widely used in various three-dimensional optical measurements, such as camera calibration, photogrammetry and structured light projection measurement system. The identification and compensation of the circular target systematic eccentricity error caused by perspective projection is an important issue for ensuring accurate measurement. This paper introduces a novel approach for identifying and correcting the eccentricity error with the help of a concentric circles target. Compared with previous eccentricity error correction methods, our approach does not require taking care of the geometric parameters of the measurement system regarding target and camera. Therefore, the proposed approach is very flexible in practical applications, and in particular, it is also applicable in the case of only one image with a single target available. The experimental results are presented to prove the efficiency and stability of the proposed approach for eccentricity error compensation.