We characterize a visible reflectance hyperspectral imaging system for noninvasive, in vivo, quantitative analysis of human tissue in a clinical environment. The subject area is illuminated with a quartz-tungsten-halogen light source, and the reflected light is spectrally discriminated by a liquid crystal tunable filter (LCTF) and imaged onto a silicon charge-coupled device detector. The LCTF is continuously tunable within its useful visible spectral range (525-725 nm) with an average spectral full width at half-height bandwidth of 0.38 nm and an average transmittance of 10.0%. A standard resolution target placed 5.5 ft from the system results in a field of view with a 17-cm diameter and an optimal spatial resolution of 0.45 mm. The measured reflectance spectra are quantified in terms of apparent absorbance and formatted as a hyperspectral image cube. As a clinical example, we examine a model of vascular dysfunction involving both ischemia and reactive hyperemia during tissue reperfusion. In this model, spectral images, based upon oxyhemoglobin and deoxyhemoblobin signals in the 525-645-nm region, are deconvoluted using a multivariate least-squares regression analysis to visualize the spatial distribution of the percentages of oxyhemoglobin and deoxyhemoglobin in specific skin tissue areas.

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The thermotropic properties and acyl chain packing characteristics of multilamellar dispersions of highly unsaturated lipids were examined by Raman spectroscopy. Bilayer assemblies were composed of POPC (1-palmitoyl-2-oleoylphosphatidylcholine), PAPC (1-palmitoyl-2-arachidonylphosphatidylcholine), and PDPC (1-palmitoyl-2-docosahexaenoylphosphatidylcholine), lipid systems possessing saturated sn-1 chains and unsaturated sn-2 chains with one, four, and six double bonds, respectively. Raman spectra were recorded in the acyl chain 2800-3100-cm-1 carbon-hydrogen (C-H) stretching and 1100-1200-cm-1 carbon-carbon (C-C) stretching mode regions, spectral intervals reflecting both the inter- and intrachain order/disorder properties of the various lipid dispersions. In order to obtain C-H stretching mode spectra relevant solely to the sn-1 chains of PAPC and PDPC, liquid-phase spectra of arachidonic and docosahexaenoic acid, respectively, were subtracted from the observed phospholipid spectra. The unsaturated sn-2 chains of PAPC and PDPC undergo minimal conformational reorganizations as the bilayers pass from the gel to liquid-crystalline phases. Phase transition temperatures, Tm, derived from statistically fitting the temperature-dependent Raman spectral data are approximately -2.5, -22.5, and -3 degrees C for POPC, PAPC, and PDPC, respectively. As the degree of unsaturation increases from POPC to PAPC and PDPC, the cooperativity of the phase transition, as measured by its breadth, decreases. Estimates of the transition widths from the temperature profiles are approximately 15 degrees C for PAPC and 20 degrees C for PDPC. The behavior of various Raman spectral parameters for the lipid gel phase reflects the formation of lateral microdomains, or clusters, whose packing properties maximize the van der Waals interactions between sn-1 chains.(ABSTRACT TRUNCATED AT 250 WORDS)

Objective To test the hypothesis that Fourier transform infrared (FTIR) spectral imaging, coupled with multivariate data processing techniques, can image the spatial distribution of matrix constituents in native and engineered cartilage samples. Methods Tissue sections from native and trypsin‐digested bovine nasal cartilage (BNC) and from engineered cartilage, generated by chick sternal chondrocytes grown in a hollow fiber bioreactor, were placed either on calcium fluoride windows for FTIR analysis or gelatinized microscope slides for histologic analysis. Based on the assumption that cartilage is predominantly chondroitin sulfate (CS) and type II collagen, chemical images were extracted from FTIR spectral imaging data sets using 2 multivariate methods: the Euclidean distance algorithm and a least‐squares approach. Results Least‐squares analysis of the FTIR data of native BNC yielded a collagen content of 54 ± 13% and a CS content of 37 ± 16% (mean ± SD). Euclidean distance analysis of measurements made on trypsin‐digested BNC demonstrated only trace amounts of CS. For engineered cartilage, the CS content was significantly lower (15 ± 5%), while the collagen content (73 ± 6%) was significantly higher than biochemically determined values (CS 34%, collagen 5%, protein 61%). These differences are due to the fact that the dimethylmethylene blue assay overestimated the CS content of the tissue because it is not specific for CS, while the FTIR spectral imaging technique overestimated the collagen content because it lacks specificity for different proteins. Conclusion FTIR spectral imaging combines histology‐like spatial localization with the quantitative capability of bulk chemical analysis. For molecules with a unique spectral signature, such as CS, the FTIR technique coupled with multivariate analysis can define a unique spatial distribution. However, for some applications, the lack of specificity of this technique for different types of proteins may be a limitation.