Premium
Single point vs. mapping approach for spectral cytopathology (SCP)
Author(s) -
Schubert Jennifer M.,
Mazur Antonella I.,
Bird Benjamin,
Miljković Milosˇ,
Diem Max
Publication year - 2010
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.201000023
Subject(s) - cytopathology , point (geometry) , mode (computer interface) , pixel , spectral line , software , signal (programming language) , noise (video) , computer science , physics , optics , algorithm , remote sensing , artificial intelligence , image (mathematics) , mathematics , medicine , pathology , astronomy , geology , geometry , cytology , programming language , operating system
In this paper we describe the advantages of collecting infrared microspectral data in imaging mode opposed to point mode. Imaging data are processed using the PapMap algorithm, which co‐adds pixel spectra that have been scrutinized for R‐Mie scattering effects as well as other constraints. The signal‐to‐noise quality of PapMap spectra will be compared to point spectra for oral mucosa cells deposited onto low‐e slides. Also the effects of software atmospheric correction will be discussed. Combined with the PapMap algorithm, data collection in imaging mode proves to be a superior method for spectral cytopathology. (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)