A robust method for automated background subtraction of tissue fluorescence
dc.contributor.author | Cao, Alex | en_US |
dc.contributor.author | Pandya, Abhilash K. | en_US |
dc.contributor.author | Serhatkulu, Gulay K. | en_US |
dc.contributor.author | Weber, Rachel E. | en_US |
dc.contributor.author | Dai, Houbei | en_US |
dc.contributor.author | Thakur, Jagdish S. | en_US |
dc.contributor.author | Naik, Vaman M. | en_US |
dc.contributor.author | Naik, Ratna | en_US |
dc.contributor.author | Auner, Gregory W. | en_US |
dc.contributor.author | Rabah, Raja M. | en_US |
dc.contributor.author | Freeman, D. Carl | en_US |
dc.date.accessioned | 2007-09-20T19:03:41Z | |
dc.date.available | 2008-09-08T14:25:14Z | en_US |
dc.date.issued | 2007-09 | en_US |
dc.identifier.citation | Cao, Alex; Pandya, Abhilash K.; Serhatkulu, Gulay K.; Weber, Rachel E.; Dai, Houbei; Thakur, Jagdish S.; Naik, Vaman M.; Naik, Ratna; Auner, Gregory W.; Rabah, Raja; Freeman, D. Carl (2007)."A robust method for automated background subtraction of tissue fluorescence." Journal of Raman Spectroscopy 38(9): 1199-1205. <http://hdl.handle.net/2027.42/56132> | en_US |
dc.identifier.issn | 0377-0486 | en_US |
dc.identifier.issn | 1097-4555 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/56132 | |
dc.description.abstract | This paper introduces a new robust method for the removal of background tissue fluorescence from Raman spectra. Raman spectra consist of noise, fluorescence and Raman scattering. In order to extract the Raman scattering, both noise and background fluorescence must be removed, ideally without human intervention and preserving the original data. We describe the rationale behind our robust background subtraction method, determine the parameters of the method and validate it using a Raman phantom against other methods currently used. We also statistically compare the methods using the residual mean square (RMS) with a fluorescence-to-signal (F/S) ratio ranging from 0.1 to 1000. The method, ‘adaptive minmax’, chooses the subtraction method based on the F/S ratio. It uses multiple fits of different orders to maximize each polynomial fit. The results show that the adaptive minmax method was significantly better than any single polynomial fit across all F/S ratios. This method can be implemented as part of a modular automated real-time diagnostic in vivo Raman system. Copyright © 2007 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 495385 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Analytical Chemistry and Spectroscopy | en_US |
dc.title | A robust method for automated background subtraction of tissue fluorescence | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Biological Chemistry | en_US |
dc.subject.hlbsecondlevel | Chemistry | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Natural Sciences, University of Michigan-Dearborn, Dearborn, MI 48128, USA | en_US |
dc.contributor.affiliationother | Department of Pediatric Surgery, Children's Hospital of Michigan, Detroit, MI 48201, USA ; Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA ; Rm 3157, Department of Electrical and Computer Engineering, 5050 Anthony Wayne Drive, Detroit, MI 48202, USA. | en_US |
dc.contributor.affiliationother | Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA | en_US |
dc.contributor.affiliationother | Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI, 48202, USA | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI, 48202, USA | en_US |
dc.contributor.affiliationother | Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI, 48202, USA | en_US |
dc.contributor.affiliationother | Department of Electrical & Computer Engineering, Wayne State University, Detroit, MI 48202, USA | en_US |
dc.contributor.affiliationother | Department of Pathology, Children's Hospital of Michigan, Detroit, MI 48201, USA | en_US |
dc.contributor.affiliationother | Department of Biological Science, Wayne State University, Detroit, MI 48202, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/56132/1/1753_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/jrs.1753 | en_US |
dc.identifier.source | Journal of Raman Spectroscopy | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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