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Assembly, Tuning and Use of an Apertureless Near Field Infrared Microscope for Protein Imaging

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Infrared microspectroscopic imaging using a large radius germanium internal reflection element and a focal plane

Brian M Patterson¹, George J Havrilla, Curtis Marcott

¹Los Alamos National Laboratory, Los Alamos, NM 87545, USA. bpatterson@lanl.gov

Applied Spectroscopy

|November 22, 2007

Summary

This study demonstrates mosaic tile imaging using a hemispherical internal reflection element (IRE) with a focal plane array (FPA) infrared microscope. This advanced technique enables large-area infrared microspectroscopic imaging of complex samples like hair and skin.

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Area of Science:

Spectroscopy
Microscopy
Materials Science

Background:

Established large-area infrared microspectroscopic imaging using hemispherical internal reflection elements (IREs) with single-point and linear array detectors.
Infrared microspectroscopy is crucial for analyzing sample composition and structure at a microscopic level.

Purpose of the Study:

To demonstrate the application of mosaic tile imaging with a focal plane array (FPA) infrared imaging system.
To evaluate the capability of a germanium hemispherical IRE coupled with an FPA Fourier transform infrared microscope for large-area imaging.

Main Methods:

Utilized a large-radius germanium hemispherical IRE with a focal plane array (FPA) Fourier transform infrared microscope.
Employed mosaic tile imaging to cover sample areas of approximately 1.5 mm x 2 mm.
Imaged a polymer film with a metal mask for comparative analysis.

Main Results:

Successfully demonstrated mosaic tile imaging on a FPA infrared microscope system.
Achieved imaging of complex biological samples, including hair and skin.
Provided comparative data between linear array and FPA imaging methods.

Conclusions:

Mosaic tile imaging with a hemispherical IRE and FPA microscope is a viable method for large-area infrared microspectroscopy.
The technique shows promise for analyzing complex samples, offering a valuable alternative to previous methods.
Further investigation is warranted to fully explore the capabilities and optimize the application of this method.