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Transferrin (Tf) is an essential serum protein which delivers iron throughout the body via transferrin-receptor (TfR)-mediated uptake and iron release in early endosomes. Currently, there is no robust method to assay the population of iron-bound Tf in intact cells and tissues. Raman hyperspectral imaging detected spectral peaks that correlated with iron-bound Tf in intact cells and tumor xenografts sections (~1270-1300 cm−1). Iron-bound (holo) and iron-free (apo) human Tf forms were endocytosed by MDAMB231 and T47D human breast cancer cells. The Raman iron-bound Tf peak was identified in cells treated with holo-Tf, but not in cells incubated with apo-Tf. A reduction in the Raman peak intensity between 5 and 30 min of Tf internalization was observed in T47D, but not in MDAMB231, suggesting that T47D can release iron from Tf more efficiently than MDAMB231. MDAMB231 may display a disrupted iron homeostasis due to iron release delays caused by alterations in the pH or ionic milieu of the early endosomes. In summary, we have demonstrated that Raman hyperspectral imaging can be used to identify iron-bound Tf in cell cultures and tumor xenografts and detect iron release behavior of Tf in breast cancer cells.

Nanofiber scaffolds are used in bioengineering for functional support of growing tissues. To fine tune nanofiber properties for specific applications, it is often necessary to characterize the spatial distribution of their chemical content. Raman spectroscopy is a common tool used to characterize chemical composition of various materials, including nanofibers. In combination with a confocal microscope, it allows simultaneous mapping of both spectral and spatial features of inhomogeneous structures, also known as hyperspectral imaging. However, such mapping is usually performed on microscopic scale, due to the resolution of the scanning system being diffraction limited (about 0.2 – 0.5 micron, depending on the excitation wavelength). We present an application of confocal Raman microscopy to hyperspectral mapping of nanofibers, where nanoscale features are resolved by means of oversampling and extensive data processing, including Singular Value Decomposition and Classical Least Squares decomposition techniques. Oversampling and data processing facilitated evaluation of the spatial distribution of different chemical components within multi-component nanofibers.

In the operating room, time is extremely precious, and the speed of one’s data acquisition system often determines whether the data will be taken or not. Our multichannel robotic platform addresses this issue by optimizing source and detector scanning procedures. Up to 16 fibers can be moved independently with resolution of 0.05 mm and speed of 50 mm/s using motors with position feedback. The initial fiber alignment employs a light beam/optical detector system for identical positioning of all motors. Peak and edge detection algorithms, for point and linear sources, are used with multiple fibers simultaneously for fast realignment of sources and detectors. The robotic platform is used to perform Diffuse Optical Tomography (DOT) measurements in solid prostate phantoms with both homogenous and inhomogeneous Optical Properties (OP). Correct positioning is critical for the accurate recovery of the OP. The light fluence rate distribution is determined by scanning multiple detector fibers simultaneously along lit linear sources placed throughout the phantom volume inside catheter needles. The scanning time for the entire DOT is about 10 seconds after the initial alignment. The OP distribution reconstruction is based on the steady-state light diffusion equation. The inverse interstitial DOT problem is solved using NIRFAST. The optical properties are recovered by iterative minimization of the difference between measured and calculated light fluence rates. Recovered OP agree with the actual values within 10%. The OP corrections are used to significantly improve light fluence accuracy for the entire volume of bulk tumor.