@inproceedings{514b4d7e5eb547428c94456d92a292ce,
title = "Hyperspectral vibrational photoacoustic imaging of lipids and collagen",
abstract = "The recently developed vibrational photoacoustic (VPA) microscopy allows bond-selective imaging of deep tissues by taking advantage of intrinsic contrast from harmonic vibration of C-H bonds. Due to the spectral similarity of molecules in the overtone vibration region, the compositional information is not available from VPA images acquired by single wavelength excitation. Here we demonstrate that lipids and collagen, two critical markers in many kinds of diseases, can be distinguished by hyperspectral VPA imaging. A phantom consisted of rat tail tendon (collagen) and fat tissue (lipids) was constructed. Wavelengths between 1650 and 1850 nm were scanned to excite the first overtone/combination vibration of C-H bond. B-scan hyperspectral VPA images, in which each pixel contains a spectrum, was analyzed by a Multivariate Curve Resolution - Alternating Least Squares (MCR-ALS) algorism to recover the spatial distribution of two chemical components in the phantom.",
keywords = "Collagen, Fat, Hyperspectral imaging, Multivariate curve resolution - alternating least squares, Overtone vibration, Photoacoustic imaging, Vibrational imaging",
author = "Pu Wang and Ping Wang and Wang, \{Han Wei\} and Cheng, \{Ji Xin\}",
year = "2012",
doi = "10.1117/12.908714",
language = "英语",
isbn = "9780819488664",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Photons Plus Ultrasound",
note = "Photons Plus Ultrasound: Imaging and Sensing 2012 ; Conference date: 22-01-2012 Through 24-01-2012",
}