Dr. Jay Deiner uses Origin in his research at the City University of New York in the area of materials development and digital fabrication of electrocatalytic devices such as batteries and fuel cells.
“Because of the many options for graphing in Origin, I use it to prepare any graph that will be used for publication. I first began using Origin as a graduate student. I have stayed with it because it has met all of my data analysis needs.”
In addition, Dr. Deiner teaches several undergraduate chemistry courses including CHEM 3412, Instrumental Methods of Analysis. He uses Origin to teach data analysis concepts and skills:
“We begin using Origin for graphing of spectroscopic data (UV-Vis and infrared). In this context, we use graphing, baseline subtraction, simple spectral math (multiplication, division), and measurement of peak heights. Later in the course, we use Origin to process chromatographic data. In that context, we use graphing, measurement of peak heights, and integration of peak areas. Finally, when the students are learning Gas Chromatography – Mass Spectrometry (GC-MS), they use Origin to recreate fragmentation patterns from the mass/intensity table that is outputted from the GC-MS. This enables them to visually match their patterns with the NIST patterns. … Up until this course, students have typically only used Excel for graphing, and Excel is not adequate for spectroscopic or chromatographic data.”
Dr. Deiner notes that Origin is a great teaching tool because it allows students to perform detailed analyses of their data:
“One of the most important skills … is learning how to process the data that come from scientific instruments -- and in fact appreciating that you must process data in detail to gain maximum information.”
NYC College of Technology
City University of New York
To teach students not only to gather data but how to analyze and present it in a way that increases their understanding and appreciation for scientific methods.
Integrate Origin into a chemistry course that teaches students to analyze data generated by scientific instruments.
- Importing instrument-generated data into Origin for analysis and graphing.
- Creating multi-plot graphs.
- Spectral analysis by finding peak heights and integrating peak areas.
- Creating graphs whose visual presentation deepens students’ understanding and conveys that understanding to the readers of their lab reports.