Christina Macie Ryder

In this brief Q&A, Christina Ryder, who is a postdoctoral researcher at Texas A&M University and the lead author of this study, explains the remaining limitations in using NIR spectroscopy for collagen prediction.

In this brief Q&A, Christina Ryder, who is a postdoctoral researcher at Texas A&M University and the lead author of this study, explains why restricting sampling to the 2030–2060 nm spectral region was key in avoiding interference from consolidants.

In this brief Q&A interview, Christina Ryder, who is a postdoctoral researcher at Texas A&M University and the lead author of this study, discusses her team’s findings.

Christina Ryder, a postdoctoral researcher at Texas A&M University, discusses the current limitations of using near-infrared (NIR) spectroscopy for collagen prescreening on archaeological bone.

What is the impact of portable spectroscopy on archaeology? Christina Ryder, a postdoctoral researcher at Texas A&M University, addresses this question in this interview.

What is the issue with percent nitrogen analysis when analyzing collagen in archaeological bone? Christina Macie Ryder, a postdoctoral researcher at Texas A&M University, explains the main problem.

Studying archaeological bone is important to learning more about the historical biological record that artifacts alone cannot tell us. Christina Ryder, a postdoctoral researcher at Texas A&M University, explains how to obtain the best collagen signals when studying archaeological bones.

What predictive modeling strategy works best for radiocarbon dating? According to Christina Macie Ryder, a postdoctoral researcher at Texas A&M University, random forest (RF) models perform better than other modeling strategies such as partial least squares regression (PLSR).

Why is near-infrared (NIR) spectroscopy a more useful technique when studying archaeological bone? According to Christina Macie Ryder, a postdoctoral researcher at Texas A&M University, it comes down to the penetration depth.