Chromatic aberration correction based on cross-channel information alignment in microscopy.

A microscope usually consists of dozens of complex lenses and requires careful assembly, alignment, and testing before use. Chromatic aberration correction is a significant step in the design of microscopes. Reducing chromatic aberration by improving optical design will inevitably increase the overall weight and size of the microscope, leading to more cost in manufacturing and maintenance. Nevertheless, the improvement in hardware can only achieve limited correction. In this paper, we propose an algorithm based on cross-channel information alignment to shift some of the correction tasks from optical design to post-processing. Additionally, a quantitative framework is established to evaluate the performance of the chromatic aberration algorithm. Our algorithm outperforms the other state-of-the-art methods in both visual appearance and objective assessments. The results indicate that the proposed algorithm can effectively obtain higher-quality images without changing the hardware or engaging the optical parameters.

Dark-field scattering image compression using a sparse matrix.

Dark-field scattering imaging is an imaging method with high contrast and high sensitivity. It has been widely employed in optical components evaluation, biomedical detection, semiconductor manufacturing, etc. However, useless background information causes data redundancy, which increases unnecessary time-space costs in processing. Furthermore, the problem is particularly serious in high-resolution imaging systems for large-aperture components. The dark-field scattering image compression (DFSIC) based on the compressed sparse row is proposed to solve this problem. The compression method realizes local data access for a sparse matrix. The result of the experiments shows that the average time-space consumption of the DFSIC is reduced to less than 2%, compared with the raw image structure, and is still kept below 68% in dense cases. This method provides a more efficient program implementation for the dark-field scattering imaging and exhibits potential in the application of the optical detection with large scale.