研究目的
Analyzing the dependence of voltage noise and jitter on the depth deviation of a point spread function in a swept source optical coherence tomography system using a KTa1-xNbxO3 deflector.
研究成果
The depth deviation in the SS-OCT system using a KTN deflector is primarily limited by jitter rather than voltage noise. Reducing jitter can efficiently improve the quality of tomographic images. A real envelope is necessary for precisely estimating the effect of noise on depth deviation and SNR.
研究不足
The study's limitations include the assumption that voltage noise and jitter obey a Gaussian distribution, which may not capture all real-world noise characteristics. Additionally, the simulation results with an ideal envelope may overestimate the effect on depth deviation and SNR compared to real envelopes obtained from measurements.
1：Experimental Design and Method Selection:
The study involved simulating an interference waveform with voltage noise and jitter based on previous reports and experiments. The methodology included the use of a KTN deflector in an SS-OCT system to analyze the effects of voltage noise and jitter on depth deviation.
2：Sample Selection and Data Sources:
The study utilized typical values for voltage noise (ΔVTYP) and jitter (ΔtTYP) obtained from previous reports and experiments.
3：List of Experimental Equipment and Materials:
The SS-OCT system with a KTN deflector, including components like a swept light source, beam splitter, mirror, photodetector (PD), analog-to-digital converter (ADC), and a signal processor.
4：Experimental Procedures and Operational Workflow:
The interference waveform with noise was simulated, and the depth deviation of the PSF was evaluated using rescaling and the fast Fourier transform (FFT). The effect of voltage noise and jitter on depth deviation and SNR was analyzed.
5：Data Analysis Methods:
The depth deviation was evaluated by calculating the standard deviation of the depth of the PSF from multiple trials. The SNR of the averaged PSF was also evaluated to understand the impact of noise on image quality.
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