AI Training Data for OCT-SLO Self Calibration and Automation

Attached Image data set from combined OCT-SLO is used to train AI models and identify features to maximize quality of data set to adjust MZI reference arm, PMT Voltage of Liquid Lens and location of object. Why adjustment is needed is explained below: 1.      Fourier-Domain OCT (FD-OCT), uses a spectrometer that can compensate for wavelength-dependent dispersion. However, residual dispersion mismatch may remain. Fine-tuning the reference arm length may help further minimize dispersion-induced phase errors. Even though the spectrometer compensates for dispersion, thus, MZI arms still need to be optically balanced for efficient interference, time-to-time.2.      In FD-OCT, signal strength decreases with depth. Adjusting the reference arm length can help optimize the depth range and improve the signal-to-noise ratio (SNR).If the optical properties of the sample change significantly (e.g., refractive index variations), or differ than the standard sample adjustment of the reference arm to maintain optimal interference conditions is necessary.3.      Irrespective the integration of spectrometer, the interference fringe contrast may be sub-optimal, adjustment of the reference arm may bring it within the coherence length of light source. This is crucial for sources with a relatively short coherence length (for example, superluminescent diodes, SLDs).4.      If the optical properties of the sample change significantly (dynamic profile etc), default arm settings may not support spectrometer to fulling achive desired dispersion matching. The above listed issues may be attributable to following reasons:1.      Finite spectral resolution of spectrometer,2.      Operational aging of optics affecting the spectral range, resolution, and dispersion properties. What if MZI arms are not adjusted: 1.      If the reference arm position results in an incorrect mapping of k-space frequencies, it can lead to aliasing or artifacts in the depth reconstruction.  Adjusting the reference arm ensures correct spectral calibration and avoids these distortions.

本数据集包含联合光学相干断层扫描-扫描激光检眼镜（OCT-SLO）配套图像，用于训练AI智能体（AI Agent）模型并识别特征，以优化数据集质量，进而调节马赫-曾德尔干涉仪（MZI）参考臂、液体透镜的光电倍增管（PMT）电压与目标物体位置。下文将阐述开展此类调节的原因：
1. 傅里叶域光学相干断层扫描（FD-OCT）采用可补偿波长相关色散的光谱仪，但仍可能存在残余色散失配问题。微调参考臂长度可进一步降低色散诱导的相位误差。尽管光谱仪可实现色散补偿，但马赫-曾德尔干涉仪（MZI）臂仍需定期进行光学平衡，以保障高效干涉。
2. 在傅里叶域光学相干断层扫描（FD-OCT）中，信号强度随探测深度增加而衰减。调节参考臂长度可优化深度探测范围并提升信噪比（SNR）。若样本的光学特性发生显著变化（如折射率波动），或与标准样本存在差异，则需对参考臂进行调节，以维持最优干涉条件。
3. 无论是否集成光谱仪，干涉条纹对比度可能未达最优水平，此时调节参考臂可使对比度处于光源的相干长度范围内。这对于相干长度相对较短的光源（如超辐射发光二极管（SLDs））尤为关键。
4. 若样本的光学特性发生显著变化（如动态分布等），默认的臂参数可能无法使光谱仪完全实现预期的色散匹配。上述问题可归因于以下两点原因：
1. 光谱仪的有限光谱分辨率；
2. 光学元件的使用老化，影响了光谱范围、分辨率与色散特性。
若未对马赫-曾德尔干涉仪（MZI）臂进行调节，则可能出现以下问题：
1. 若参考臂位置导致k空间频率映射错误，会在深度重建过程中产生混叠伪影或其他失真。调节参考臂可确保光谱校准的正确性，从而避免此类失真问题。