TY - JOUR
T1 - Minimizing inter-microscope variability in dental microwear texture analysis
AU - Arman, Samuel
AU - Ungar, Peter
AU - Brown, Christopher
AU - DeSantis, Larisa
AU - Schmidt, Christopher
AU - Prideaux, Gavin
PY - 2016/6
Y1 - 2016/6
N2 - Acommon approach to dental microwear texture analysis (DMTA) uses confocal profilometry in concert with scale-sensitive fractal analysis to help understand the diets of extinct mammals. One of the main benefits ofDMTAover other methods is the repeatable, objective manner of data collection. This repeatability, however, is threatened by variation in results ofDMTAof the same dental surfaces yielded by different microscopes. Here we compareDMTAdata of five species of kangaroos measured on seven profilers of varying specifications. Comparison between microscopes confirms that intermicroscope differences are present, but we show that deployment of a number of automated treatments to remove measurement noise can help minimize inter-microscope differences. Applying these same treatments to a published homininDMTAdataset shows that they alter some significant differences between dietary groups. Minimising microscope variability while maintaining interspecific dietary differences requires then that these factors are balanced in determining appropriate treatments. The process outlined here offers a solution for allowing comparison of data between microscopes, which is essential for ongoing DMTA research. In addition, the process undertaken, including considerations of other elements ofDMTAprotocols also promises to streamline methodology, remove measurement noise and in doing so, optimize recovery of a reliable dietary signature.
AB - Acommon approach to dental microwear texture analysis (DMTA) uses confocal profilometry in concert with scale-sensitive fractal analysis to help understand the diets of extinct mammals. One of the main benefits ofDMTAover other methods is the repeatable, objective manner of data collection. This repeatability, however, is threatened by variation in results ofDMTAof the same dental surfaces yielded by different microscopes. Here we compareDMTAdata of five species of kangaroos measured on seven profilers of varying specifications. Comparison between microscopes confirms that intermicroscope differences are present, but we show that deployment of a number of automated treatments to remove measurement noise can help minimize inter-microscope differences. Applying these same treatments to a published homininDMTAdataset shows that they alter some significant differences between dietary groups. Minimising microscope variability while maintaining interspecific dietary differences requires then that these factors are balanced in determining appropriate treatments. The process outlined here offers a solution for allowing comparison of data between microscopes, which is essential for ongoing DMTA research. In addition, the process undertaken, including considerations of other elements ofDMTAprotocols also promises to streamline methodology, remove measurement noise and in doing so, optimize recovery of a reliable dietary signature.
KW - Confocal profiling
KW - Mammals
KW - Paleodiet
KW - Scale sensitive fractal analysis
UR - http://www.scopus.com/inward/record.url?scp=84979197678&partnerID=8YFLogxK
U2 - 10.1088/2051-672X/4/2/024007
DO - 10.1088/2051-672X/4/2/024007
M3 - Article
VL - 4
JO - Surface Topography: Metrology and Properties
JF - Surface Topography: Metrology and Properties
SN - 2051-672X
IS - 2
M1 - 024007
ER -