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Title: The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation

The modulation of the state of polarization of photons due to scatter generates associated geometric phase that is being investigated as a means for decreasing the degree of uncertainty in back-projecting the paths traversed by photons detected in backscattered geometry. In our previous work, we established that polarimetrically detected Berry phase correlates with the mean photon penetration depth of the backscattered photons collected for image formation. In this work, we report on the impact of state-of-linear-polarization (SOLP) filtering on both the magnitude and population distributions of image forming detected photons as a function of the absorption coefficient of the scattering sample. The results, based on Berry phase tracking implemented Polarized Monte Carlo Code, indicate that sample absorption plays a significant role in the mean depth attained by the image forming backscattered detected photons.
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  1. ORNL
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Resource Relation:
Conference: Photonics West the SPIE International Symposium on Biomedical Optics, San Francisco, CA, USA, 20160213, 20160218
Research Org:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Joint Institute for Computational Sciences (JICS)
Sponsoring Org:
ORNL LDRD Seed-Money
Country of Publication:
United States
Berry phase; geometric phase; polarization sensitive Monte Carlo; depth resolved imaging; scattering sample imaging; modeling anisotropic scatter; optical imaging; polarimetry; polarimetric imaging; backscattered Mueller matrix