
pmid: 28981211
We highlight the interest of using the indices of polarimetric purity (IPPs) to the inspection of biological tissues. The IPPs were recently proposed in the literature and they result in a further synthetization of the depolarizing properties of samples. Compared with standard polarimetric images of biological samples, IPP‐based images lead to larger image contrast of some biological structures and to a further physical interpretation of the depolarizing mechanisms inherent to the samples. In addition, unlike other methods, their calculation do not require advanced algebraic operations (as is the case of polar decompositions), and they result in 3 indicators of easy implementation. We also propose a pseudo‐colored encoding of the IPP information that leads to an improved visualization of samples. This last technique opens the possibility of tailored adjustment of tissues contrast by using customized pseudo‐colored images. The potential of the IPP approach is experimentally highlighted along the manuscript by studying 3 different ex‐vivo samples. A significant image contrast enhancement is obtained by using the IPP‐based methods, compared to standard polarimetric images.
Biomedical, Optical Imaging, Image Enhancement, Imaging, Hindlimb, Mueller matrix, Polarimetry, Animals, Depolarization, Rabbits, Biological tissue
Biomedical, Optical Imaging, Image Enhancement, Imaging, Hindlimb, Mueller matrix, Polarimetry, Animals, Depolarization, Rabbits, Biological tissue
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 31 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
