Polarized image near-natural color fusion algorithm fortarget detection To the best of our knowledge,this is the first report on combining multi-view sensing and polarization imaging for applications to microscopy.
The proposed scheme is robust against misalignment and suitable for handling video sequences of microscopic samples. By modifying a commercial camera and replacing the conventional lens with an optical system which integrates a microscope objective and a lenslet array with a polarization mask, image processing of the captured elemental images allows to obtain Stokes parameters in a single shot. In the present work we propose a cost-effective technique for polarization sensing in a snapshot with the possibility of real-time imaging microscopy. In this regard, in conventional approaches to polarimetric microscopy different polarization states are achieve dunder time-division multiplexing strategies and are mainly subject to static phenomena or can handle dynamic phenomena at the cost of incorporating expensive high speed cameras. In polarized light microscopy in particular, polarized light can be useful to assess changes in the structure of some cells or serve as a quantitative tool for biomedical diagnosis. Juan Llaguno, Federico lecumberry, and Ariel FernándezĭOI: 10.1364/AO.445096 Received Accepted Posted View: PDFĪbstract: Polarimetric imaging allows for vector nature of optical information across a scene to be obtained, with recent applications ranging from remote sensing to microscopy. Snapshot Polarimetric Imaging in Multi-view Microscopy Note: Author names will be searched in the keywords field, also, but that may find papers where the person is mentioned, rather than papers they authored.Use a comma to separate multiple people: J Smith, RL Jones, Macarthur.Use these formats for best results: Smith or J Smith.For best results, use the separate Authors field to search for author names.Use quotation marks " " around specific phrases where you want the entire phrase only.Question mark (?) - Example: "gr?y" retrieves documents containing "grey" or "gray".Asterisk ( * ) - Example: "elect*" retrieves documents containing "electron," "electronic," and "electricity".
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