Welcome to “Analytically Speaking,” the new podcast from LCGC and Spectroscopy.
Here in Episode #1, podcast host Jerry Workman talks to Prof. Barry Lavine of the Department of Chemistry at Oklahoma State University. Prof. Lavine and his research group have been working on new approaches and algorithms for identification and classification of samples measured using infrared (IR) imaging microscopy in forensic analysis. He discusses aspects of sampling, spectra collection, image generation, and data analysis for infrared imaging and sample identification. Data analytics topics include alternate least squares (ALS) reconstruction of the IR spectra of the individual layers from automotive paint samples using machine learning techniques, spectral database searching, and special experimental design methods.
References and Further Reading:
Barry Lavine faculty page: https://chemistry.okstate.edu/bios/356-faculty-member-bio-lavine
F. Kwofie, N.U.D Perera, K.S. Dahal, G.P. Affadu-Danful, K. Nishikida, and B.K. Lavine, Transmission Infrared Microscopy and Machine Learning Applied to the Forensic Examination of Original Automotive Paint. Applied Spectroscopy 76(1), 118–131 (2022). https://doi.org/10.1177/00037028211057574
B.K. Lavine, A. Fasasi, N. Mirjankar, K. Nishikida, and J. Campbell, Simulation of attenuated total reflection infrared absorbance spectra: applications to automotive clear coat forensic analysis. Applied Spectroscopy 68(5), 608–615 (2014). https://doi.org/10.1366/13-07266
A. Fasasi, N. Mirjankar, R.I. Stoian, C. White, M. Allen, M.P. Sandercock, and B.K. Lavine, Pattern recognition-assisted infrared library searching of automotive clear coats. Applied Spectroscopy 69(1), 84–94 (2015). https://doi.org/10.1177/0003702816666287
B.K. Lavine, K. Nuguru, N. Mirjankar, and J. Workman, Pattern recognition assisted infrared library searching. Applied Spectroscopy 66(8), 917–925 (2012). https://doi.org/10.1366/11-06576
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