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Optical scattering limits the ability to focus light deep inside scattering media, posing a long-standing challenge in biomedical applications such as deep-tissue imaging and photodynamic therapy. Digital optical phase conjugation (DOPC), combined with ultrasonic guide stars-an approach named as time-reversed ultrasonically encoded (TRUE) optical focusing-has shown promise in overcoming this limitation. However, practical applications, such as imaging in living tissues, require TRUE systems to operate at high speeds to compensate for dynamic scattering caused by physiological motion. While single-exposure DOPC systems have achieved average mode time down to tens of nanoseconds, conventional TRUE systems require at least two camera exposures to separate ultrasonically encoded scattered light from the diffuse background, leading to increased system runtime. In this study, we developed a high-speed single-exposure TRUE focusing system based on off-axis holography. Our system achieves an overall system runtime of approximately 12.6 ms while supporting 4.2 × 10 independently controllable modes. By dividing the system runtime by the number of independently controllable modes, the average mode time of the developed TRUE focusing system is calculated to be only 30 ns-more than seven times shorter than that of previously demonstrated single-exposure DOPC systems. This advancement significantly enhances the feasibility of optical focusing in dynamic scattering environments, paving the way for deep-tissue biomedical applications.
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http://dx.doi.org/10.1364/OE.562862 | DOI Listing |
Comput Med Imaging Graph
September 2025
The SMART (Smart Medicine and AI-based Radiology Technology) Lab, Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai, China; Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai
Deep learning has made notable strides in the ultrasonic diagnosis of lymph nodes, yet it faces three primary challenges: a limited number of lymph node images and a scarcity of annotated data; difficulty in comprehensively learning both local and global semantic information; and obstacles in collaborative learning for both image segmentation and classification to achieve accurate diagnosis. To address these issues, we propose the Cross-organ Cross-modality Cswin-transformer Coupled Convolutional Network (C-Net). First, we design a cross-organ and cross-modality transfer learning strategy to leverage skin lesion dermoscopic images, which have abundant annotations and share similarities in fields of view and morphology with the lymph node ultrasound images.
View Article and Find Full Text PDFOptical scattering limits the ability to focus light deep inside scattering media, posing a long-standing challenge in biomedical applications such as deep-tissue imaging and photodynamic therapy. Digital optical phase conjugation (DOPC), combined with ultrasonic guide stars-an approach named as time-reversed ultrasonically encoded (TRUE) optical focusing-has shown promise in overcoming this limitation. However, practical applications, such as imaging in living tissues, require TRUE systems to operate at high speeds to compensate for dynamic scattering caused by physiological motion.
View Article and Find Full Text PDFJPhys Photonics
July 2025
Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States of America.
Photoacoustic tomography (PAT) is an emerging biomedical imaging technology that combines the molecular sensitivity of optical imaging with the spatial resolution of ultrasonic imaging in deep tissue. Molecular PAT, a subset of PAT, takes advantage of the specific absorption of molecules to reveal tissue structures, functions, and dynamics. Thanks to the high sensitivity to the optical absorption of molecules, PAT can selectively image those molecules by tuning the excitation wavelength to each target's optical absorption signature.
View Article and Find Full Text PDFPerception of vocalizations is crucial for social behavior. A conserved example of this is mothers responding to distress calls from infants. In mice, experienced mothers (dams) find and retrieve isolated pups into the nest when pups emit ultrasonic vocalizations (USVs).
View Article and Find Full Text PDFUltrasonics
November 2025
Department of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China.
Given the high communication cost in the existing rail structural health monitoring (SHM) system UGW-based and no GPRS signals in the tunnel, a novel communication method in the rail based on Barker encoding and improved pulse position modulation (IPPM) is proposed in this work. Firstly, to overcome the low signal-to-noise ratio (SNR) of UGW signals resulting from dispersion and multimodal properties, Barker codes are involved in encoding excitation signals for piezoelectric ultrasonic transducers. Besides, an IPPM method is presented to diminish the multipath effect, improving communication robustness.
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