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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.
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.
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