The general theory of Fourier self-deconvolution, i.e., spectral deconvolution using Fourier transforms and the intrinsic lineshape, is developed. The method provides a way of computationally resolving overlapped lines that can not be instrumentally resolved due to their intrinsic linewidth. Examples of the application of the technique to synthetic and experimental infrared spectra are presented, and potential applications are discussed. It is shown that lines in spectra having moderate signal/noise ratios (∼1000) can readily be reduced in width by a factor of 3. The method is applicable to a variety of spectroscopic techniques.
Articles you may be interested inSelective attachment of benzaldehyde on Si ( 100 ) -2 × 1 : Structure, selectivity, and mechanism Scanning tunneling microscopy ͑STM͒, Fourier-transform infrared spectroscopy and semiempirical quantum cluster calculations have been used to investigate the chemisorption of benzene on the Si͑100͒͑2ϫ1͒ surface. Room temperature adsorption results in the occupation of multiple bonding configurations including on-top of a single Si dimer and two different bridging geometries involving interaction with two Si dimers. While the single dimer state is populated preferentially upon adsorption, it is observed to be metastable with respect to the bridging configuration. The single dimer to bridge conversion is activated, with a barrier of 0.94 eV. The single dimer geometry can be repopulated via a process assisted by the STM tip.
We demonstrate high performance coherent anti-Stokes Raman scattering (CARS) microscopy of live cells and tissues with user-variable spectral resolution and broad Raman tunability (2500 - 4100 cm(-1)), using a femtosecond Ti:Sapphire pump and photonic crystal fiber output for the broadband synchronized Stokes pulse. Spectral chirp of the fs laser pulses was a user-variable parameter for optimization in a spectral focusing implementation of multimodal CARS microscopy. High signal-to-noise, high contrast multimodal imaging of live cells and tissues was achieved with pixel dwell times of 2-8 micros and low laser powers (< 30 mW total).
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