OpenSpecy-package: OpenSpecy: Analyze, Process, Identify, and Share Raman and...

OpenSpecy-packageR Documentation

OpenSpecy: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra

Description

Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples (Cowger et al. 2021, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1021/acs.analchem.1c00123")}). With read_any(), Open Specy provides a single function for reading individual, batch, or map spectral data files like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies processing spectra, including smoothing, baseline correction, range restriction and flattening, intensity conversions, wavenumber alignment, and min-max normalization. Spectra can be identified in batch using an onboard reference library (Cowger et al. 2020, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0003702820929064")}) using match_spec(). A Shiny app is available via run_app() or online at https://openanalysis.org/openspecy/.

Author(s)

Maintainer: Win Cowger wincowger@gmail.com (ORCID) [data contributor]

Authors:

Other contributors:

  • Andrew B Gray (ORCID) [contributor]

  • Hannah Hapich (ORCID) [contributor]

  • Jennifer Lynch (ORCID) [contributor, data contributor]

  • Hannah De Frond (ORCID) [contributor, data contributor]

  • Keenan Munno (ORCID) [contributor, data contributor]

  • Chelsea Rochman (ORCID) [contributor, data contributor]

  • Sebastian Primpke (ORCID) [contributor, data contributor]

  • Orestis Herodotou [contributor]

  • Mary C Norris [contributor]

  • Christine M Knauss (ORCID) [contributor]

  • Aleksandra Karapetrova (ORCID) [contributor, data contributor, reviewer]

  • Vesna Teofilovic (ORCID) [contributor]

  • Laura A. T. Markley (ORCID) [contributor]

  • Shreyas Patankar [contributor, data contributor]

  • Rachel Kozloski (ORCID) [contributor, data contributor]

  • Samiksha Singh [contributor]

  • Katherine Lasdin [contributor]

  • Cristiane Vidal (ORCID) [contributor]

  • Clare Murphy-Hagan (ORCID) [contributor]

  • Philipp Baumann info@spectral-cockpit.space (ORCID) [contributor]

  • Pierre Roudier [contributor]

  • National Renewable Energy Laboratory [funder]

  • Possibility Lab [funder]

References

Chabuka BK, Kalivas JH (2020). “Application of a Hybrid Fusion Classification Process for Identification of Microplastics Based on Fourier Transform Infrared Spectroscopy.” Applied Spectroscopy, 74(9), 1167–1183. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0003702820923993")}.

Cowger W, Gray A, Christiansen SH, De Frond H, Deshpande AD, Hemabessiere L, Lee E, Mill L, et al. (2020). “Critical Review of Processing and Classification Techniques for Images and Spectra in Microplastic Research.” Applied Spectroscopy, 74(9), 989–1010. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0003702820929064")}.

Cowger, W (2023). “Library data.” OSF. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.17605/OSF.IO/X7DPZ")}.

Cowger W, Steinmetz Z, Gray A, Munno K, Lynch J, Hapich H, Primpke S, De Frond H, Rochman C, Herodotou O (2021). “Microplastic Spectral Classification Needs an Open Source Community: Open Specy to the Rescue!” Analytical Chemistry, 93(21), 7543–7548. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1021/acs.analchem.1c00123")}.

Primpke S, Wirth M, Lorenz C, Gerdts G (2018). “Reference Database Design for the Automated Analysis of Microplastic Samples Based on Fourier Transform Infrared (FTIR) Spectroscopy.” Analytical and Bioanalytical Chemistry, 410(21), 5131–5141. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s00216-018-1156-x")}.

Savitzky A, Golay MJ (1964). “Smoothing and Differentiation of Data by Simplified Least Squares Procedures.” Analytical Chemistry, 36(8), 1627–1639.

Zhao J, Lui H, McLean DI, Zeng H (2007). “Automated Autofluorescence Background Subtraction Algorithm for Biomedical Raman Spectroscopy.” Applied Spectroscopy, 61(11), 1225–1232. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1366/000370207782597003")}.

See Also

Useful links:


OpenSpecy documentation built on Nov. 26, 2023, 1:09 a.m.