Research on spectral reconstruction algorithm for snapshot microlens array micro-hyperspectral imaging system

Snapshot microlens array microscopic hyperspectral imaging systems do not require a scanning process and obtain (x,y,lambda) three-dimensional data cubes in one shot. Currently, the three-dimensional spectra image data are interleaved on a charge-coupled device detector, which increases subsequent data processing difficulty. The optical design software cannot simulate actual engineering installation and adjustment results accurately and the tracking results cannot guide precise rapid online calibration of the snapshot microlens array microscopic hyperspectral imaging system. To solve these problems, we propose an accurate spectral image reconstruction model based on optical tracing, derive spatial dispersion equations for the prisms and gratings, establish an algorithm model for the correspondence between the microlens array's surface dispersion spectral distribution and its imaging position, and propose a three-dimensional spectral image reconstruction algorithm. Experimental results show that this algorithm's actual spectral calibration error is better than 0.2 nm. This meets the image processing requirements of snapshot microlens array microscopic hyperspectral systems. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Automated summary

A snapshot microlens array microscopic hyperspectral imaging system is proposed to address the problem of inaccurate spectral calibration in existing systems. By using an accurate spectral image reconstruction model based on optical tracing, spatial dispersion equations, and an algorithm model for correspondence between microlens array's surface dispersion and imaging position, the system is able to achieve a spectral calibration error of better than 0.2 nm, meeting the image processing requirements of snapshot microlens array microscopic hyperspectral systems.