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Polarized and wide-field light microscopy has been studied for many years to develop accurate and information-rich images within a focused framework on biophysics and biomedicine. Technological advances and conceptual understanding have recently led to significant results in terms of applications. Simultaneously, developments in label-free methods are opening a new window on molecular imaging at a low dose of illumination. The ability to encode and decode polarized light pixel by pixel, coupled with the computational strength provided by artificial intelligence, is the running perspective of label-free optical microscopy. More specifically, the information-rich content Mueller matrix microscopy through its 16 elements offers multimodal imaging, an original data set to be integrated with other advanced optical methods. This dilates the spectrum of possible and potential applications. Here, we explore the recent advances in basic and applied research towards technological applications ta
Artificial-intelligence
Luorescence
Label-free
Machine-learning
Mueller-matrix
Ultimodal-optical-microscopy
Optical-microscopy
Polarization
Tokes-vector
Uper-resolved-fluorescence-microscopy
Many books on polarization give tables of Mueller matrices. The coherency matrix has been found useful for interpretetion of the Mueller matrix. Here we give a table of Mueller matrices M, coherency matrices C, and coherency matrix factors F for different polarization components and systems. F is not given for some complicated nondeterministic cases. In many cases, though, F has a very simple form. In particular, we give expressions for F for the general case of an homogeneous elliptic diattenuating retarder. Different coordinate systems for describing diattenuating retarders are compared, on a generalized retardation sphere, analogous to the Poincaré sphere. For the general homogeneous deterministic case, expressions for the Mueller matrix have particularly simple forms for Cartesian or stereographic coordinates in generalized retardation space.
Mueller-matrix
Polarization
Olarization-imaging
Depolarization has been found to be a useful contrast mechanism in biological and medical imaging. The Mueller matrix can be used to describe polarization effects of a depolarizing material. An historical review of relevant polarization algebra, measures of depolarization, and purity spaces is presented, and the connections with the eigenvalues of the coherency matrix are discussed. The advantages of a barycentric eigenvalue space are outlined. A new parameter, the diattenuationcorrected purity, is introduced. We propose the use of a combination of the eigenvalues of coherency matrices associated with both a Mueller matrix and its canonical Mueller matrix to specify the depolarization condition. The relationships between the optical and polarimetric radar formalisms are reviewed. We show that use of a beam splitter in a reflectance polarization imaging system gives a Mueller matrix similar to the Sinclair–Mueller matrix for exact backscattering. The effect of the reflectance is cance
Mueller-matrix
Polarization
Olarization-imaging
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