xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Comunidad de Madrid Agencia Estatal de Investigación (España)
Sponsor:
The authors wish to acknowledge the financial support National Key Research and Development Program of China (2017YFF0107100), National Natural Science Foundation of China (NSFC) (61501239), NSFC-2017 (International Young Scientist Research Fund no. 61750110520) and the “Zijin Professor Project” of Nanjing University of Science and Technology. MH thanks the National Natural Science Foundation of China for financial support (Project nos. U1532112, 11375198, 11574280). BGC thanks the funding through the R&D Program SINFOTON S2013/MIT-2790 of the Comunidad de Madrid and from Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) for the Project TEC2016-77242-C3-1-R AEI/FEDER, UE.
Project:
Comunidad de Madrid. S2013/MIT-2790 Gobierno de España. TEC2016-77242-C3-1-R
In this work, we report an indirect way to image the Stokes parameters of a sample under test (SUT) with sub-diffraction scattering information. We apply our previously reported technique called parametric indirect microscopic imaging (PIMI) based on a fittingIn this work, we report an indirect way to image the Stokes parameters of a sample under test (SUT) with sub-diffraction scattering information. We apply our previously reported technique called parametric indirect microscopic imaging (PIMI) based on a fitting and filtration process to measure the Stokes parameters of a submicron particle. A comparison with a classical Stokes measurement is also shown. By modulating the incident field in a precise way, fitting and filtration process at each pixel of the detector in PIMI make us enable to resolve and sense the scattering information of SUT and map them in terms of the Stokes parameters. We believe that our finding can be very useful in fields like singular optics, optical nanoantenna, biomedicine and much more. The spatial signature of the Stokes parameters given by our method has been confirmed with finite difference time domain (FDTD) method.[+][-]