Efficiency is doing things right: high-throughput, automated, 3D methods in the modern era of otolith morphometrics

The morphometrics of fish otoliths have been commonly used to investigate population structures and the environmental impacts on ontogeny. These studies can require hundreds if not thousands of otoliths to be collected and processed. Processing these otoliths takes up valuable time, money, and resources that can be saved by automation. These structures also contain relevant information in three dimensions that is lost with 2D morphometric methods from photographic analysis. In this study, the otoliths of three populations of coho salmon (Oncorhynchus kisutch) were examined with manual 2D, automated 2D, and automated 3D otolith measurement methods. The automated 3D method was able to detect an 8% difference in average otolith density, while 2D methods could not. Due to the loss of information in the z axis, and the longer processing time, 2D methods can take up to 100 times longer to reach the same statistical power as automated 3D methods. Automated 3D methods are faster, can answer a wider range of questions, and allow fisheries scientists to automate rather monotonous tasks.

Automated summary

Morphometrics of fish otoliths are commonly used to study population structures and environmental impacts on development. Automating the measurement process can save valuable time and resources, while providing more accurate information compared to manual 2D methods. The study found that automated 3D methods were able to detect differences that 2D methods could not, and were significantly faster in processing time.