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Biomedical Spectroscopy and Imaging - Volume Pre-press, issue Pre-press

Purchase individual online access for 1 year to this journal.

Price: EUR 110.00
Biomedical Spectroscopy and Imaging (BSI) is a multidisciplinary journal devoted to the timely publication of basic and applied research that uses spectroscopic and imaging techniques in different areas of life science including biology,  biochemistry, biotechnology, bionanotechnology,  environmental science, food science, pharmaceutical science, physiology and medicine.   Scientists are encouraged to submit their work for publication in the form of original articles, brief communications, rapid communications, reviews and mini-reviews.
The journal is dedicated to providing a single forum for experts in spectroscopy and imaging as applied to biomedical problems, and also for life scientists who use these powerful methods for advancing their research work.  BSI aims to promote communication, understanding and synergy across the diverse disciplines that rely on spectroscopy and imaging. It also encourages the submission of articles describing development of new devices and technologies, based on spectroscopy and imaging methods, for application in diverse areas including medicine, biomedical science, biomaterials science, environmental science, pharmaceutical science, proteomics, genomics, metabolomics, microbiology, biotechnology, genetic engineering, nanotechnology, etc.

Clinical applications of spectroscopic techniques in conjunction with multivariate analysis in virus diagnosis

Authors: Santos, Marfran C. D. | Mariz, João V. M. | Silva, Raissa V. O. | Morais, Camilo L. M. | Lima, Kássio M. G.

Article Type: Research Article

Abstract: In view of the global pandemic that started in 2020, caused by COVID-19, the importance of the existence of fast, reliable, cheap diagnostic techniques capable of detecting the virus even in the first days of infection became evident. This review discusses studies involving the use of spectroscopic techniques in the detection of viruses in clinical samples. Techniques based on mid-infrared, near-infrared, Raman, and molecular fluorescence are explained and it was demonstrated how they can be used in conjunction with computational tools of multivariate analysis to build models capable of detecting viruses. Studies that used real clinical samples from 2011 to … Show more

Keywords: Biospectroscopy, virus identification, multivariate classification, multiway classification

DOI: 10.3233/BSI-210213

Citation: Biomedical Spectroscopy and Imaging, vol. Pre-press, no. Pre-press, pp. 1-27, 2021

Price: EUR 27.50
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