Rivet, Sylvain, Dubreuil, Matthieu, Bradu, Adrian, Le Grand, Yann, Pavone, Francesco S., Beaurepaire, Emmanuel, So, Peter T. (2019) Fast Mueller Linear Polarization Modality at the Usual Rate of a Laser Scanning Microscope. In: Advances in Microscopic Imaging. Proceedings SPIE Volume 11076, Advances in Microscopic Imaging II; 1107616 (2019). . p. 43. SPIE (doi:10.1117/12.2526850) (KAR id:75650)
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Official URL: https://doi.org/10.1117/12.2526850 |
Abstract
Mueller microscopes enable imaging of the optical anisotropic properties of biological or non-biological samples, in phase and amplitude, at sub-micrometer scale. However, the development of Mueller microscopes faces instrumental challenges: whilst adjusting the microscope, the operator needs a polarimetric image as guidance and the production of polarimetric parameters must be sufficiently quick to ensure fast imaging. To mitigate this issue, in this paper, a full Mueller scanning microscope based on spectral encoding of polarization is presented. The spectrum collected every 10 ms for each position of the optical beam on the specimen, incorporates all the information needed to produce the full Mueller matrix, which allows simultaneous images of all the polarimetric parameters at the unequalled rate of 1.5 Hz (for an image of 256×256 pixels). The design of the optical blocks allows for the real-time display of linear birefringent images which serve as guidance for the operator. In addition, the instrument has the capability to easily switch its functionality from a Mueller to a Second Harmonic Generation (SHG) microscope, providing a pixel-to-pixel matching of the images produced by the two modalities. The device performance is illustrated by imaging various unstained biological specimens.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1117/12.2526850 |
Divisions: | Divisions > Division of Natural Sciences > Physics and Astronomy |
Depositing User: | Adrian Bradu |
Date Deposited: | 01 Aug 2019 14:30 UTC |
Last Modified: | 05 Nov 2024 12:40 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/75650 (The current URI for this page, for reference purposes) |
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