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Center for Chemical Sensors (CCS) / Chemical Imaging and Surface Analysis Center (CISAC)
Researching chemical threats with spectroscopy and other techniques | University of Puerto Rico Mayagüez Campus
Center for Chemical Sensors (CCS) / Chemical Imaging and Surface Analysis Center (CISAC)Center for Chemical Sensors (CCS) / Chemical Imaging and Surface Analysis Center (CISAC)
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  • CONTACT US
  • HOME
    • About Us
    • Mission and Vision
  • MEMBERS
    • Faculty
    • Graduate Students
    • Undergraduate Students
    • Alumni
    • Staff
  • RESEARCH
    • USDA NIFA Project
    • Innovative Wide Area Sensing/Mitigation Technologies for CWMD
      • DHS ARI IWAS Members
      • DHS ARI IWAS Events
    • Research Areas
      • Detection Research
        • Detection with Infrared
        • Detection with Raman
        • Detection with Quantum Cascade Laser
        • Detection with Ultraviolet
        • Detection with Mass Spectrometry
        • Detection with Atomic Force Microscopy
        • Detection with Chromatography
      • Simulation Research
      • Analysis Research
      • Synthesis Research
    • Analyte-based Research
      • TNT Research
      • PETN Research
      • RDX Research
      • DNT Research
      • HMX Research
      • TATP Research
      • Peroxides Research
      • Other Analyte-based Research
    • Research Articles
    • Theses and Dissertations
    • Book Chapters
    • Patents
    • Research Posters
  • NEWS
  • FACILITIES
    • Q-027 A – Surface Analysis Lab
    • Q-027 B – Chemical Detection Lab
    • Q-040 – Wet Chemistry & Data Analysis Areas and Laser Spectroscopy Laboratory
    • Q-042 – Wet Chemistry & Data Analysis Areas
  • Society for Applied Spectroscopy RUM Section
    • SAS About Us
    • SAS Members
    • SAS Calendar
    • Our Research Articles
    • SAS Workshops
    • SAS Webinars
  • FILES/INFO FOR RESEARCH
    • Important Files
    • Templates
    • Standard Operating Procedures (SOPs)
    • Mini Standard Operating Procedures (Mini-SOPs)
    • Learn Python language
    • Learn R language
    • Laboratory Safety
  • CONTACT US

Developing PCA model in R

R programmingBy March 21, 2023

R script that develops a PCA model and exports the scores, loadings, and explained variance

Normalize Multiple Spectra with MSC in R

R programmingBy February 5, 2023

R script that normalizes multiple spectra with MSC into a single exported XLSX file.

Corrects Baseline for Multiple Spectra in R

R programmingBy February 4, 2023

R script that corrects the baseline of multiple spectra into a single exported XLSX file.

DHS ARI IWAS Webinar on Merging, Organizing, and Graphing Techniques for Spectroscopists

DHS ARI IWAS, DHS ARI IWAS Webinar, Events, SeminarBy antony.cardozoJanuary 31, 2023

33rd webinar on January 31, 2023 explaining student how to merge, organize, and graph spectra

Apply Savitzky-Golay Smoothing and Derivatives (SG) on Spectra in Python

Python ProgrammingBy January 1, 2023

R script that transforms spectra from a CSV file using the Savitzky-Golay Smoothing and Derivatives (SG) method and exporting the results in a new CSV file

Apply Standard Normal Variate (SNV) on Spectra in Python

Python ProgrammingBy January 1, 2023

R script that transforms spectra from a CSV file using the Standard Normal Variate (SNV) method and exporting the results in a new CSV file

DHS ARI IWAS Webinar on How to Reduce Unwanted Variations in Spectra

DHS ARI IWAS, DHS ARI IWAS Webinar, Events, SAS, SAS Webinar, SeminarBy antony.cardozoJuly 1, 2022

22nd webinar on July 1, 2022 explaining student how to reduce unwanted variations in your spectra using data preprocessing

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