Optical endomicroscope via fiber bundles has been widely used to provide cellular-level visualization for clinical applications. However, improving the quality and spatial resolution of the under-sampling images obtained by fiber bundle with the inter-core spacing remains a challenging problem. In this paper, we address the problem of deconvolution and restoration in fiber-bundle-based imaging. We propose a fast iterative shrinkage-thresholding algorithm (FISTA) solve this problem, and a high-resolution (HR) image without honeycomb patterns is restored from a low-resolution (LR) fiber bundle image. The feasibility of this mothed is verified by experimental results, which shows a promising and wide applications for fiber bundle imaging.
Diffuse speckle contrast analysis (DSCA) measures blood flow in deep tissues by the sensitivity of speckle contrast signals to the displacement of red blood cells (RBCs). Currently, the most common model for describing the displacement of RBCs is a Brownian diffusion-like process. In fact, RBCs undergo shear-induced displacement in blood flow. In this paper, the reduction in speckle contrast due to shear-induced motions is studied by theory and Monte Carlo simulations. We provide the solution for the speckle contrast function in a semi-infinite geometry, and establish the quantitative relationship between speckle contrast and absolute blood flow in a realistic vascular network. Based on this relationship, we can determine the relative contributions of diffusive RBCs motions on the speckle contrast.
A practical technique, known as Confocal laser endoscopy with the ability of super high magnification and sensitivity, uses a pinhole to reduce the stray light from the samples before and after the focal plane, leading to greatly improve the signal-to-noise ratio (SNR) and axial resolution. The algorithm and the computational efficiency of the image acquisition system as one of the key modules of confocal laser endoscopy significantly influence the imaging quality and timeliness of endoscopy. Therefore, it is necessary to design an image acquisition system with good image quality, fast image refreshing and user-friendly interface to improve the use effect of confocal laser endoscopy and the working efficiency for the doctors. In this paper, a high-frame-rate data acquisition system is designed for the scanning and imaging process of confocal laser endoscopy. By using hybrid programming between C# and C++, the acquisition system able to effectively utilize the computational efficiency of C++ language and the flexible graphical interface support of C# language. The WPF framework is used to realize image display and translation scaling, which can help operators to observe samples. In this paper, we have established a test system and tested the related performance indicators. The experimental results show that this image acquisition system of confocal laser endoscopy can achieve a 512×512 pixel imaging with the speed up to 15 frames/s, and correct each frame of the image in real time.
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