To address the shortcomings in many traditional spectral feature extraction algorithms in practical application of low modeling accuracy and poor stability, this paper introduces the “Boruta algorithm-based local optimization process“ based on the traditional simulated annealing algorithm and proposes the “two-step simulated annealing algorithm (TSSA)”. This algorithm combines global optimization and local optimization. The Boruta algorithm ensures that the feature extraction results are all strongly correlated with the dependent variable, reducing data redundancy. The accuracy and stability of the algorithm model are significantly improved. The experimental results show that compared with the traditional feature extraction method, the accuracy indexes of the inversion model established by using the TSSA algorithm for feature extraction were significantly improved, with the determination coefficient R² of 0.9654, the root mean square error (RMSE) of 3.6723 μg/L, and the mean absolute error (MAE) of 3.1461 μg/L.

A tomographic microscopy system can achieve instantaneous three-dimensional imaging, and this type of microscopy system has been widely used in the study of biological samples; however, existing chromatographic microscopes based on off-axis Fresnel zone plates have degraded image quality due to geometric aberrations such as spherical aberration, coma aberration, and image scattering. This issue hinders the further development of chromatographic microscopy systems. In this paper, we propose a method for the design of an off-axis Fresnel zone plate with the elimination of aberrations based on double exposure point holographic surface interference. The aberration coefficient model of the optical path function was used to solve the optimal recording parameters, and the principle of the aberration elimination tomography microscopic optical path was verified. The simulation and experimental verification were carried out utilizing a Seidel coefficient, average gradient, and signal-to-noise ratio. First, the aberration coefficient model of the optical path function was used to solve the optimal recording parameters. Then, the laminar mi-coroscopy optical system was constructed for the verification of the principle. Finally, the simulation calculation results and the experimental results were verified by comparing the Seidel coefficient, average gradient, and signal-to-noise ratio of the microscopic optical system before and after the aberration elimination. The results show that for the diffractive light at the orders 0 and ±1, the spherical aberration W040 decreases by 62–70%, the coma aberration W131 decreases by 96–98%, the image dispersion W222 decreases by 71–82%, and the field curvature W220 decreases by 96–96%, the average gradient increases by 2.8%, and the signal-to-noise ratio increases by 18%.

Aiming at the phenomenon of fiber print-through (FPT) during the curing process of carbon fiber-reinforced polymer (CFRP) mirrors, this paper effectively mitigates FPT by improving the replication technique. This paper simulates and analyzes the causes of FPT generation and then improves the replication technique based on multiple explorations of the replication process. In the improved replication technique, a mold is designed to assist in the curing process of the mirrors and to further suppress the FPT on the surface by applying pressure during the curing process. In addition, the layup method, resin matrix, and curing equipment are also optimized and improved. The surface roughness of the CFRP mirrors before and after the process improvement is measured using an optical surface profilometer, and the roughness parameters such as the arithmetic average deviation, root mean square error, and maximum height are obtained. Measurement results show that the improved replication technique effectively mitigates FPT, the surface of the obtained CFRP mirror is smoother, and the application of pressure during curing can further reduce the roughness of the mirror surface.