Nonlinear interferometric vibrational imaging for applications in the study and diagnosis of breast cancer
Year: 2010
Type: article
Abstract: This thesis deals with the problem of developing a microscopy imaging technique with fast acquisition rates and label-free chemical selectivity for the study of tumor formation and its diagnosis in early stages of development. Spontaneous Raman scattering microscopy studies on human breast pathologies have led to models that characterize normal and cancerous breast tissue. This technique, however, is weak and requires long integration times, making it problematic as a clinical imaging tool. Coherent anti-Stokes Raman scattering (CARS) microscopy can improve the speed of acquisition and is more suitable for imaging, but at the cost of losing spectral information and generating unwanted background. As an advance, this thesis describes the technology of Nonlinear Interferometric Vibrational Imaging (NIVI), a CARS-based technique that uses two engineered femtosecond optical pulses and interferometric detection to retrieve broadband Raman signatures free of background. The performance of this technique is shown in the acquisition of spatial-spectral maps in material samples and mammary tissue. Results were validated by comparison with spontaneous Raman microscopy and bright field images of stained sections of the same tissues.
Author: Wladimir A. Benalcazar
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2199382469