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IR Spectrometers

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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Updated: Jun 6, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

Published on: May 3, 2011

Digital array scanned interferometer: sensors and results.

W H Smith, P D Hammer

|November 19, 2010

Summary

This summary is machine-generated.

Digital array scanned interferometers (DASI) offer high throughput for hyperspectral imaging. This study demonstrates that DASI technology can achieve photon-noise-limited hyperspectra, improving data quality.

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Last Updated: Jun 6, 2026

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

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Published on: May 3, 2011

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Implementation of a Reference Interferometer for Nanodetection

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Published on: April 26, 2014

Area of Science:

Optics and Photonics
Spectroscopy
Imaging Technology

Background:

Digital array scanned interferometers (DASI) combine grating spectrometer and interferometer principles.
DASI systems offer field-widened capabilities for high throughput hyperspectral data acquisition.

Purpose of the Study:

To present aspects of DASI design and hyperspectra acquisition.
To detail data processing methods for DASI data.
To demonstrate the achievement of photon-noise-limited hyperspectra using DASI.

Main Methods:

Utilizing digital array scanned interferometers for hyperspectral data acquisition.
Implementing specific data processing techniques tailored for DASI output.
Conducting experiments to evaluate hyperspectra quality and noise levels.

Main Results:

DASI systems were designed and implemented for hyperspectral imaging.
Data processing methods were applied to acquired hyperspectra.
Experimental data confirmed that photon-noise-limited hyperspectra are achievable with DASI.

Conclusions:

DASI technology is suitable for acquiring high-quality hyperspectral data.
Photon-noise-limited performance is a key advantage of DASI systems.
The presented design and processing methods enable advanced hyperspectral imaging applications.