en 25926952 <p>Background: The objective of this study is to establish Raman signatures from pure cultures of different Candida species using Raman Spectroscopy (RS) and use these signatures for rapid identification of unknown Candida species.</p> <p>Methods: Pure cultures of five Candida species were evaluated using RS to build a limited signature library. &lsquo;Raman Processing&rsquo; (RP) software was used for Principal Component Analysis (PCA) and Differential Functional Analysis (DFA).</p> <p>Results: Eleven principal components described at least 95% variance in the spectra. Raman signatures from these known Candida species were able to identify the species of unknown Candida cultures with 100% accuracy.</p> <p>Conclusion: Raman spectroscopy can improve early identification of Candida species and may facilitate early optimal antifungal therapy.</p> <p style="text-align:justify">&nbsp;</p> Candida species, Raman, Spectrum analysis 45 48 https://www.ajmb.org/En/Article.aspx?id=200 https://www.ajmb.org/PDF/En/FullText/200.pdf NitinS. ChouthaiDivision of Neonatal-Perinatal Medicine, Wayne State University , Detroit, MI, , United States of America874AnujA. Shah Division of Neonatal-Perinatal Medicine, Wayne State University, Detroit, MI, United States of America875HosseinSalimniaDivision of Pathology, Wayne State University, Detroit, MI, United States of America876OlenaPalyvoda Lumigen Instrument Center, Wayne State University, Detroit, MI, United States of America877SuneethaDevpura Department of Radiation Oncology, Henry Ford Health System, Detroit MI, United States of America878MichaelKlein Pediatric Surgery, Wayne State University , Detroit, MI, United States of America879BasimAsmar Division of Pediatric Infectious Diseases, Wayne State University , Detroit, MI, United States of America 880