A Multi-Scale Anatomical Wood Identification Approach Applied to Traditional Japanese Chord Instruments

Accurate wood identification is fundamental to any study, conservation, or restoration activity involving cultural heritage objects, including musical instruments. Here, we apply WoodScope, a structured, multi-scale and minimally invasive workflow for wood identification, to three traditional Japanese chord instruments, showing how a systematic sequence of visual, macroscopic, and microscopic observations maximizes diagnostic accuracy while safeguarding object integrity. The results show that out of 39 wooden parts analysed, 38 were identified non-invasively. In one case, targeted micro-sampling was performed, based on macroscopic observation, to obtain additional information. Overall, our results confirm that most instrument components can be reliably identified at the genus level or, when diagnostic characters are insufficient, to broader anatomical groups, without the need for destructive sampling. Our study demonstrates the efficacy of the WoodScope approach to optimise wood identification outcomes while preserving the object's integrity and confining micro-targeted sampling to instances where microscopic anatomical characters are indispensable for reliable taxonomic identification and cannot be evaluated non-invasively.