Raman microspectroscopy is extensively used to investigate the composition and structure of a wide range of materials at microscopic level. In particular, it has been successfully applied to study the chemical content of biological samples (as biopolymers, cells and tissues) because it involves the detection of vibrational modes which are specific of the functional groups inside the sample, so constituting a sort of “fingerprint” of the analysed material. However, so that the Raman microspectroscopy is able to provide reliable results, some obstacles have to be overcome. The main of these is the removal of spectral background signals.In this work, a flexible polynomial background construction algorithm has been implemented in order to estimate the background of typical Raman spectra from both inorganic and biological samples.
An automatic method for estimation of background of Raman spectra
GALLO, CRESCENZIO;PERNA, GIUSEPPE;Lasalvia, Maria;CAPOZZI, VITO GIACOMO
2015-01-01
Abstract
Raman microspectroscopy is extensively used to investigate the composition and structure of a wide range of materials at microscopic level. In particular, it has been successfully applied to study the chemical content of biological samples (as biopolymers, cells and tissues) because it involves the detection of vibrational modes which are specific of the functional groups inside the sample, so constituting a sort of “fingerprint” of the analysed material. However, so that the Raman microspectroscopy is able to provide reliable results, some obstacles have to be overcome. The main of these is the removal of spectral background signals.In this work, a flexible polynomial background construction algorithm has been implemented in order to estimate the background of typical Raman spectra from both inorganic and biological samples.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
