Monitoring of extracellular matrix (ECM) microstructure
is essential
in studying structure-associated cellular processes, improving cellular
function, and for ensuring sufficient mechanical integrity in engineered
tissues. This paper describes a novel method to study the microscale
alignment of the matrix in engineered tissue scaffolds (ETS) that
are usually composed of a variety of biomacromolecules derived by
cells. First, a trained loading function was derived from Raman spectra
of highly aligned native tissue via principal component analysis (PCA),
where prominent changes associated with specific Raman bands (e.g.,
1444, 1465, 1605, 1627–1660, and 1665–1689 cm–1) were detected with respect to the polarization angle. These changes
were mainly caused by the aligned matrix of many compounds within
the tissue relative to the laser polarization, including proteins,
lipids, and carbohydrates. Hence this trained function was applied
to quantify the alignment within ETS of various matrix components
derived by cells. Furthermore, a simple metric called Amplitude Alignment
Metric (AAM) was derived to correlate the orientation dependence of
polarized Raman spectra of ETS to the degree of matrix alignment.
It was found that the AAM was significantly higher in anisotropic
ETS than isotropic ones. The PRS method revealed a lower p-value for distinguishing the alignment between these two types of
ETS as compared to the microscopic method for detecting fluorescent-labeled
protein matrices at a similar microscopic scale. These results indicate
that the anisotropy of a complex matrix in engineered tissue can be
assessed at the microscopic scale using a PRS-based simple metric,
which is superior to the traditional microscopic method. This PRS-based
method can serve as a complementary tool for the design and assessment
of engineered tissues that mimic the native matrix organizational
microstructures.