Literature DB >> 33690489

Combined approach using circular intensity differential scattering microscopy under phasor map data analysis.

Ali Mohebi, Aymeric Le Gratiet, Riccardo Marongiu, Fabio Callegari, Paolo Bianchini, Alberto Diaspro.   

Abstract

Circular intensity differential scattering (CIDS) is based on the analysis of circular polarized light scattering and has been proven to be an interesting label-free microscopy technique sensitive to the chiral organization at the submicroscopic level. However, this approach averages the localized contrasts related to the sample polarimetric properties in the illumination volume. Additionally, the detection sensitivity suffers from the confinement of the mixture of structures, and it becomes an arduous task to discriminate the source of the signal. In this work, we show that a phasor map approach combined with CIDS microscopy has provided an intuitive view of the sample organization to recognize the presence of different molecular species in the illumination volume. The data represented in terms of polarization response mapped to a single point called a phasor also have the potential to pave the way for the analysis of large data sets. We validated this method by numerical simulations and compared the results with that of experimental data of optical devices of reference.

Year:  2021        PMID: 33690489     DOI: 10.1364/AO.417677

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


  2 in total

1.  Phasor approach of Mueller matrix optical scanning microscopy for biological tissue imaging.

Authors:  Aymeric Le Gratiet; Luca Lanzano; Artemi Bendandi; Riccardo Marongiu; Paolo Bianchini; Colin Sheppard; Alberto Diaspro
Journal:  Biophys J       Date:  2021-07-03       Impact factor: 3.699

2.  Phasor map analysis to investigate Hutchinson-Gilford progeria cell under polarization-resolved optical scanning microscopy.

Authors:  Ali Mohebi; Aymeric Le Gratiet; Alberta Trianni; Fabio Callegari; Paolo Bianchini; Alberto Diaspro
Journal:  Sci Rep       Date:  2022-01-31       Impact factor: 4.379

  2 in total

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