Sogabe Maina, Ohzeki Masayuki, Fujimoto Koji, Sehara-Fujisawa Atsuko, Nishimura Satoshi
Department of Regeneration Science and Engineering, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto, Japan.
Graduate School of Information Sciences, Tohoku University, Sendai, Japan.
J Biophotonics. 2020 May;13(5):e201960204. doi: 10.1002/jbio.201960204. Epub 2020 Mar 2.
Dynamic intravital imaging is essential for revealing ongoing biological phenomena within living organisms and is influenced primarily by several factors: motion artifacts, optical properties and spatial resolution. Conventional imaging quality within a volume, however, is degraded by involuntary movements and trades off between the imaged volume, imaging speed and quality. To balance such trade-offs incurred by two-photon excitation microscopy during intravital imaging, we developed a unique combination of interlaced scanning and a simple image restoration algorithm based on biological signal sparsity and a graph Laplacian matrix. This method increases the scanning speed by a factor of four for a field size of 212 μm × 106 μm × 130 μm, and significantly improves the quality of four-dimensional dynamic volumetric data by preventing irregular artifacts due to the movement observed with conventional methods. Our data suggest this method is robust enough to be applied to multiple types of soft tissue.
动态活体成像对于揭示活体内正在发生的生物学现象至关重要，并且主要受几个因素影响：运动伪影、光学特性和空间分辨率。然而，由于非自愿运动，体积内的传统成像质量会下降，并且在成像体积、成像速度和质量之间进行权衡。为了平衡双光子激发显微镜在活体成像过程中产生的这种权衡，我们开发了一种独特的交错扫描与基于生物信号稀疏性和图拉普拉斯矩阵的简单图像恢复算法的组合。对于212μm×106μm×130μm的视场大小，该方法将扫描速度提高了四倍，并通过防止传统方法中观察到的由于运动引起的不规则伪影，显著提高了四维动态体积数据的质量。我们的数据表明，该方法足够稳健，可应用于多种类型的软组织。
