חיפוש מתקדם
AIP Conference Proceedings
Salman, A., Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva, Israel
Shufan, E., Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka - Tel-Aviv Academic College of Engineering, Tel-Aviv, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection, Agricultural Research Organization, Gilat Research Center, Negev, Israel
Zeiri, L., Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Sahu, R.K., Feinstein Institute for Medical Research, Center for Autoimmune and Musculoskeletal Diseases, 350 Community Drive, Manhasset, NY, United States
Moreh, R., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Mordechai, S., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Huleihel, M., Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Fourier Transform Infrared (FTIR) and Raman spectroscopies have emerged as powerful tools for chemical analysis. This is due to their ability to provide detailed information about the spatial distribution of chemical composition at the molecular level. A biological sample, i.e. bacteria or fungi, has a typical spectrum. This spectral fingerprint, characterizes the sample and can therefore be used for differentiating between biology samples which belong to different groups, i.e., several different isolates of a given fungi. When the spectral differences between the groups are minute, multivariate analysis should be used to provide a good differentiation. We hereby review several results which demonstrate the differentiation success obtained by combining spectroscopy measurements and multivariate analysis. © 2015 AIP Publishing LLC.
פותח על ידי קלירמאש פתרונות בע"מ -
הספר "אוצר וולקני"
אודות
תנאי שימוש
Application of multivariate analysis and vibrational spectroscopy in classification of biological systems
1702
Salman, A., Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva, Israel
Shufan, E., Department of Physics, SCE - Shamoon College of Engineering, Beer-Sheva, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka - Tel-Aviv Academic College of Engineering, Tel-Aviv, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection, Agricultural Research Organization, Gilat Research Center, Negev, Israel
Zeiri, L., Department of Chemistry, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Sahu, R.K., Feinstein Institute for Medical Research, Center for Autoimmune and Musculoskeletal Diseases, 350 Community Drive, Manhasset, NY, United States
Moreh, R., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Mordechai, S., Department of Physics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Huleihel, M., Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Application of multivariate analysis and vibrational spectroscopy in classification of biological systems
Fourier Transform Infrared (FTIR) and Raman spectroscopies have emerged as powerful tools for chemical analysis. This is due to their ability to provide detailed information about the spatial distribution of chemical composition at the molecular level. A biological sample, i.e. bacteria or fungi, has a typical spectrum. This spectral fingerprint, characterizes the sample and can therefore be used for differentiating between biology samples which belong to different groups, i.e., several different isolates of a given fungi. When the spectral differences between the groups are minute, multivariate analysis should be used to provide a good differentiation. We hereby review several results which demonstrate the differentiation success obtained by combining spectroscopy measurements and multivariate analysis. © 2015 AIP Publishing LLC.
Scientific Publication
You may also be interested in