Non-uniform Sampling Scheme Based on Low-Rank Matrix Approximate for Sparse Photoacoustic Microscope System

  • Ting LiuEmail author
  • Yongsheng Zhao
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


Optical-resolution photoacoustic microscopy (OR-PAM) has rapidly emerging as tool for label-free morphology and function imaging of the microvasculature in vivo with a high resolution. However, it is difficult to achieve real-time imaging due to the limitation of data acquisition time. Therefore, a sparse PAM (SPAM) has been proposed to obtain a high-resolution PAM image with relatively low sampling density. In order to successfully set up a SPAM system, the two key problems that we need to keep focus on are designation of the compressive sampling scheme and the corresponding image recovery algorithm. Typically, a random uniform sampling scheme is adopted. In this paper, a non-uniform sampling scheme based on low-rank matrix approximate is proposed to replace the conventional point-by-point scanning scheme to implement fast data acquisition. The effectiveness of the proposed non-uniform scanning scheme is validated using both numerical analysis and PAM experiments. As compliments for SPAM system, the total sampling points are dramatically decreased for a relatively high-resolution PAM vascular image and to implement accelerated data acquisition. Thus, OR-PAM is of great potential to find board biomedical applications in the pathophysiology studies of tumor and treatments for anti-angiogenesis.


Tumor angiogenesis Optical-resolution photoacoustic microscopy Low-rank matrix approximate 



This work is supported by Fundamental Research Funds for the Central Universities (Grant No. 3132017127).


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Control Science and EngineeringDalian Maritime UniversityDalianChina

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