Geometry-Dependent Spectroscopic Contrast in Deep Tissues
Xin Ge,
Hongying Tang,
Xianghong Wang,
Xinyu Liu,
Si Chen,
Nanshuo Wang,
Guangming Ni,
Xiaojun Yu,
Shufen Chen,
Haitao Liang,
En Bo,
Lulu Wang,
Cilwyn Shalitha Braganza,
Chenjie Xu,
Steven M. Rowe,
Guillermo J. Tearney,
Linbo Liu
Affiliations
Xin Ge
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Hongying Tang
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
Xianghong Wang
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Xinyu Liu
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Si Chen
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Nanshuo Wang
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Guangming Ni
School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China
Xiaojun Yu
School of Automation, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China
Shufen Chen
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Haitao Liang
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
En Bo
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Lulu Wang
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Cilwyn Shalitha Braganza
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore
Chenjie Xu
School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Republic of Singapore
Steven M. Rowe
Gregory Fleming James Cystic Fibrosis Research Center, University of Alabama at Birmingham, Birmingham, AL 35294, USA; Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA; Corresponding author
Guillermo J. Tearney
Wellman Center for Photomedicine, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, USA; Department of Pathology, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA; Corresponding author
Linbo Liu
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Republic of Singapore; School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Republic of Singapore; Corresponding author
Summary: Nano-structures of biological systems can produce diverse spectroscopic effects through interactions with broadband light. Although structured coloration at the surface has been extensively studied, natural spectroscopic contrasts in deep tissues are poorly understood, which may carry valuable information for evaluating the anatomy and function of biological systems. Here we investigated the spectroscopic characteristics of an important geometry in deep tissues at the nanometer scale: packed nano-cylinders, in the near-infrared window, numerically predicted and experimentally proved that transversely oriented and regularly arranged nano-cylinders could selectively backscatter light of the long wavelengths. Notably, we found that the spectroscopic contrast of nanoscale fibrous structures was sensitive to the pressure load, possibly owing to the changes in the orientation, the degree of alignment, and the spacing. To explore the underlying physical basis, we further developed an analytical model based on the radial distribution function in terms of their radius, refractive index, and spatial distribution. : Infrared Optics; Medical Imaging; Optical Imaging; Spectroscopy Subject Areas: Infrared Optics, Medical Imaging, Optical Imaging, Spectroscopy
