Literature DB >> 17068584

Hyperspectral diffuse reflectance imaging for rapid, noncontact measurement of the optical properties of turbid materials.

Jianwei Qin1, Renfu Lu.   

Abstract

We present a method and technique of using hyperspectral diffuse reflectance for rapid determination of the optical properties of turbid media. A hyperspectral imaging system in line scanning mode was used to acquire spatial diffuse reflectance profiles from liquid phantoms made up of absorbing dyes and fat emulsion scatterers over the spectral range of 450-1000 nm instantaneously. The hyperspectral reflectance data were analyzed by using a steady-state diffusion approximation model for semi-infinite homogeneous media. A calibration procedure was developed to compensate the nonuniform instrument response of the imaging system, and a curve-fitting algorithm was used to extract absorption and reduced scattering coefficients (mua and mus', respectively) for the phantoms in the wavelength range from 530 to 900 nm. The hyperspectral imaging system gave good measures of mua and mus' for the phantoms with average fitting errors of 12% and 7%, respectively. The hyperspectral imaging technique is fast, noncontact, and easy to use, which makes it especially suitable for measurement of the optical properties of turbid liquid and solid foods.

Mesh:

Year:  2006        PMID: 17068584     DOI: 10.1364/ao.45.008366

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  4 in total

1.  Probe pressure effects on human skin diffuse reflectance and fluorescence spectroscopy measurements.

Authors:  Liang Lim; Brandon Nichols; Narasimhan Rajaram; James W Tunnell
Journal:  J Biomed Opt       Date:  2011 Jan-Feb       Impact factor: 3.170

Review 2.  Quality Assessment of Fruits and Vegetables Based on Spatially Resolved Spectroscopy: A Review.

Authors:  Wan Si; Jie Xiong; Yuping Huang; Xuesong Jiang; Dong Hu
Journal:  Foods       Date:  2022-04-20

3.  Spatial mapping of drug delivery to brain tissue using hyperspectral spatial frequency-domain imaging.

Authors:  Rajinder P Singh-Moon; Darren M Roblyer; Irving J Bigio; Shailendra Joshi
Journal:  J Biomed Opt       Date:  2014-09       Impact factor: 3.170

4.  Quantitative Hyperspectral Reflectance Imaging.

Authors:  Marvin E Klein; Bernard J Aalderink; Roberto Padoan; Gerrit De Bruin; Ted A G Steemers
Journal:  Sensors (Basel)       Date:  2008-09-11       Impact factor: 3.576

  4 in total

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