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Design and optimization of line-field optical coherence tomography at visible wavebands
Biomedical Optics Express ( IF 3.4 ) Pub Date : 2021-02-09 , DOI: 10.1364/boe.413424
Fangjian Xing 1, 2 , Jang-Hoon Lee 2 , Collin Polucha 2 , Jonghwan Lee 2, 3
Affiliation  

Parallel line-field Fourier-domain optical coherence tomography (LF-FDOCT) has emerged to enable relatively higher speeds than the conventional FDOCT system. In the LF-FDOCT, one B-scan is captured at a time instead of scanning the beam to acquire hundreds of A-scans. On the other hand, spectroscopic OCT using the visible waveband provides absorption information over multiple wavelengths at each voxel. This information of spectral absorption enables quantitative measurement of blood oxygenation, voxel by voxel. Here, we presented the design and optimization of a LF-FDOCT system at the visible waveband (520–620 nm), especially using a generic Camera Link area sensor (2048 × 1088 pixels). To optimize the axial resolution and depth of imaging volume, we simulated various parameters and found that two Nyquist optima can exist, the origin and implication of which has been discussed. As a result, our system acquired 1088 A-scans in parallel at the camera’s frame rate of 281 frame per second, achieving an equivalent rate of over 300,000 A-scan/s, while minimizing sacrifice in the point spread function (2.8 × 3.1 × 3.2 µm3, x × y × z) and the field of view (750 × 750 × 750 µm3). As an example of application, we presented high-speed imaging of blood oxygenation in the rodent brain cortex.

中文翻译:

可见波段线场光学相干层析成像的设计与优化

平行线场傅立叶域光学相干断层扫描(LF-FDOCT)已经出现,以实现比传统FDOCT系统更高的速度。在LF-FDOCT中,一​​次捕获一个B扫描,而不是扫描光束以获取数百个A扫描。另一方面,使用可见波段的光谱OCT可在每个体素的多个波长上提供吸收信息。光谱吸收的该信息使得能够通过体素定量测量体素的血液氧合。在这里,我们介绍了在可见波段(520–620 nm)尤其是使用通用Camera Link区域传感器(2048×1088像素)的LF-FDOCT系统的设计和优化。为了优化轴向分辨率和成像体积深度,我们模拟了各种参数,发现可以存在两个奈奎斯特最优值,已经讨论了其起源和含义。结果,我们的系统以相机每秒281帧的帧速率并行采集1088次A扫描,等效速度超过300,000 A扫描/秒,同时最大程度地减少了点扩散功能的损失(2.8×3.1× 3.2微米3,x×y×z)和视场(750×750×750 µm 3)。作为应用示例,我们提出了啮齿动物大脑皮层中血液氧合的高速成像。
更新日期:2021-03-01
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