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Application of Optical Coherence Tomography to a Mouse Model of Retinopathy
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Apparent coherence loss in phase space tomography.

Zhengyun Zhang, Chenglong Bao, Hui Ji

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    This summary is machine-generated.

    Sensor pixel integration in phase space tomography is crucial. Assuming point samples introduces errors, underestimating coherence, especially with Gaussian Schell-model sources.

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    Area of Science:

    • Optics
    • Quantum Optics
    • Information Optics

    Background:

    • Sensor pixels integrate optical intensity, a factor with inconsistent treatment in phase space tomography literature.
    • Some methods explicitly model pixel integration, others are ambiguous, and some assume point samples.

    Purpose of the Study:

    • To investigate the impact of sensor pixel integration on phase space tomography.
    • To analyze the systematic errors introduced by the point-sample assumption in coherence retrieval.

    Main Methods:

    • Theoretical analysis of sensor pixel integration effects in phase space tomography.
    • Simulation using a Gaussian Schell-model source to quantify the integration error.

    Main Results:

    • The point-sample assumption leads to apodization and systematic errors in the ambiguity function.
    • This assumption results in an underestimation of the source's overall degree of coherence.
    • The severity of this error was quantified and compared to noise effects.

    Conclusions:

    • Explicitly accounting for sensor pixel integration is essential for accurate phase space tomography.
    • The point-sample assumption is a significant source of error, particularly for certain source types.
    • Understanding this effect is critical for correctly retrieving the state of coherence.