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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...

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A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python.

Kimmo Aukusti Riihiaho¹, Matti Aleksanteri Eskelinen¹, Ilkka Pölönen¹

¹Faculty of Information Technology, University of Jyväskylä, P.O. Box 35, FI-40014 Jyväskylä, Finland.

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|February 9, 2021

Summary

This study presents open-source software to correct spectral smile and tilt aberrations in do-it-yourself hyperspectral imagers (HSIs). This breakthrough makes advanced hyperspectral imaging accessible without expensive equipment or optical labs.

Keywords:

aberration correction do it yourself hyperspectral imager open-source optical aberration spectral smile

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Area of Science:

Optics
Spectroscopy
Instrumentation

Background:

Commercial hyperspectral imagers (HSIs) are prohibitively expensive for many researchers.
Existing do-it-yourself (DIY) HSI designs often suffer from spectral aberrations like smile and tilt.
Lack of affordable solutions limits the widespread adoption of HSI technology.

Purpose of the Study:

To develop and validate a cost-effective software solution for correcting spectral smile and tilt aberrations in DIY push-broom HSIs.
To provide open-source tools and 3D models for building and calibrating affordable HSIs.
To enable broader access to hyperspectral imaging capabilities for research and education.

Main Methods:

Utilized an existing DIY push-broom HSI design.
Developed novel software for spectral smile and tilt aberration correction without requiring an optical laboratory.
Quantified aberration reduction using defined metrics.
Designed and provided improved 3D-printable casing and manufacturing models for the HSI.

Main Results:

Successfully reduced spectral smile and tilt aberrations to zero within the used metrics.
The developed software artifact is available as an open-source GitHub repository.
Improved 3D models for HSI casing were created and made available.

Conclusions:

The developed software effectively corrects spectral aberrations in DIY HSIs without specialized equipment.
This work significantly lowers the barrier to entry for hyperspectral imaging research.
Promotes wider accessibility of HSI technology across diverse financial and laboratory settings.