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Rapid acquisition of Raman spectral maps through minimal sampling: applications in tissue imaging
Author(s) -
Rowlands Christopher J.,
Varma Sandeep,
Perkins William,
Leach Iain,
Williams Hywel,
Notingher Ioan
Publication year - 2012
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201100098
Subject(s) - sampling (signal processing) , raster graphics , raster scan , spectral imaging , raman spectroscopy , image resolution , computer science , noise (video) , signal (programming language) , noise reduction , resolution (logic) , biomedical engineering , artificial intelligence , computer vision , optics , physics , medicine , filter (signal processing) , image (mathematics) , programming language
A method is presented for acquiring high‐spatial‐resolution spectral maps, in particular for Raman micro‐spectroscopy (RMS), by selectively sampling the spatial features of interest and interpolating the results. This method achieves up to 30 times reduction in the sampling time compared to raster‐scanning, the resulting images have excellent correlation with conventional histopathological staining, and are achieved with sufficient spectral signal‐to‐noise ratio to identify individual tissue structures. The benefits of this selective sampling method are not limited to tissue imaging however; it is expected that the method may be applied to other techniques which employ point‐by‐point mapping of large substrates. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)