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Updated: Nov 18, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

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Published on: June 18, 2021

Rotational hyperspectral scanner and related image reconstruction algorithm.

Longqiang Luo¹, Shuo Li^1,2, Xinli Yao¹

¹College of Optical Science and Engineering, Zhejiang University, 866 Yuhangtang Rd, Hangzhou, 310058, China.

Scientific Reports

|February 9, 2021

Summary

This summary is machine-generated.

We developed a compact hyperspectral scanner using a novel rotational scanning method. This stable, moveless technique reconstructs images effectively, even with minor mechanical errors, achieving 5 nm spectral resolution.

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Last Updated: Nov 18, 2025

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Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

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Published on: April 14, 2020

Area of Science:

Optics and Photonics
Spectroscopy
Imaging Technology

Background:

Hyperspectral imaging captures detailed spectral information across spatial dimensions.
Traditional translational scanning methods can be limited by mechanical stability and movement.
Compact and lightweight hyperspectral systems are desirable for various applications.

Purpose of the Study:

To design and implement a compact and lightweight hyperspectral scanner.
To demonstrate a novel rotational hyperspectral scanning method.
To develop and validate an image reconstruction algorithm for rotational hyperspectral data.

Main Methods:

A compact and lightweight hyperspectral scanner was designed and built.
A rotational scanning mechanism was implemented, contrasting with traditional translational methods.
A specialized image reconstruction algorithm was developed to process angularly recorded hyperspectral data, accommodating mechanical misalignments.

Main Results:

The rotational hyperspectral scanner was successfully demonstrated as a moveless and stable scanning method.
The developed image algorithm effectively reconstructed hyperspectral data cubes from angularly recorded information, robust to radial and tangential offsets.
The calibrated system achieved a spectral resolution of 5 nm.
Experimental analysis confirmed the system's spatial accuracy and spectral precision.

Conclusions:

Rotational hyperspectral scanning offers a stable and moveless alternative to translational methods.
The developed reconstruction algorithm enables robust image formation from rotational hyperspectral data, even with mechanical imperfections.
The compact and lightweight system demonstrates significant potential for advanced hyperspectral imaging applications.