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Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

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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Related Experiment Video

Updated: Jun 12, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
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A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

[Research on spatially modulated Fourier transform imaging spectrometer data processing method].

Min Huang1, Bin Xiangli, Qun-Bo Lü

  • 1Laboratory of Spectral Imaging Technique, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China. huangmin@opt.ac.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|May 26, 2010
PubMed
Summary
This summary is machine-generated.

Fourier transform imaging spectrometry rapidly develops new techniques. This paper details a method to process indirect spectral data, yielding effective results for users.

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Area of Science:

  • Spectroscopy
  • Optical Engineering
  • Data Science

Context:

  • Fourier transform imaging spectrometry (FTIS) is a rapidly advancing technology.
  • FTIS data is indirect and requires significant processing before use.
  • Existing literature lacks a comprehensive guide to FTIS data processing.

Purpose:

  • To present an effective method for processing raw Fourier transform imaging spectrometer data.
  • To convert indirect interferometric data into usable spectral data.
  • To provide a foundational reference for FTIS data analysis.

Summary:

  • This paper outlines a comprehensive data processing workflow for Fourier transform imaging spectrometry.
  • The workflow includes essential steps such as data pretreatment, apodization, phase correction, and Fast Fourier Transform (FFT).
  • A spectral radicalization calibration method is also discussed for accurate data interpretation.

Impact:

  • Enables the effective utilization of raw data from Fourier transform imaging spectrometers.
  • Facilitates improved accuracy and reliability in spectral analysis.
  • Supports the rapid development and application of FTIS technology in various scientific fields.