Adaptive Pixel Size Rasterization in Laser Scanning Microscopy

The patent applies dynamics by making the pixel size adaptive rather than fixed. The pixel size is dynamically adjusted based on the local density of effective excitation positions in different regions of the sample. In regions with high photon density, smaller pixels are used to capture fine details, while in regions with low photon density, larger pixels are used to accumulate sufficient photons and reduce noise. This dynamic adaptation resolves the contradiction between spatial resolution and noise by optimizing pixel size locally rather than globally.

The patent implements local quality by allowing different pixel sizes in different regions of the image based on local characteristics. The pixel size is determined by the local distribution of effective excitation positions, meaning each region of the sample is imaged with an optimal pixel size suited to its specific photon density and structural complexity. This local optimization enables high spatial resolution in photon-rich regions while maintaining acceptable noise levels in photon-poor regions.

The patent resolves this contradiction through dynamic pixel size adjustment. Instead of using a uniformly large pixel size that would reduce noise but sacrifice resolution, the system dynamically selects pixel sizes based on local photon density. In regions where sufficient photons are detected, smaller pixels maintain high resolution without excessive noise. In regions with limited photons, larger pixels are used to accumulate enough signal, accepting some resolution loss to avoid noise-dominated images.

The patent applies local quality by tailoring the pixel size to the local imaging conditions. Each region of the sample is assigned a pixel size appropriate to its local photon density and structural features. This localized optimization ensures that noise reduction is achieved where necessary without unnecessarily sacrificing resolution in regions where photons are abundant and higher resolution is achievable.

The patent implements dynamics by transitioning from a static, fixed pixel size configuration to a dynamic, adaptive one. The pixel size is automatically determined based on the distribution of effective excitation positions detected during scanning. This dynamic approach increases adaptability to different sample regions and structures without requiring manual intervention or complex pre-programming, as the system self-adjusts based on actual imaging conditions.

The patent applies self-service by enabling the imaging system to automatically determine optimal pixel sizes based on the detected photon distribution. The system evaluates the local density of effective excitation positions and autonomously selects appropriate pixel sizes for different regions, eliminating the need for external manual configuration or complex preset parameters. This self-adjusting capability enhances adaptability while keeping the operational complexity low for the user.