The role of biological shape in optical and acoustic measurements

Abstract

This thesis investigates the role of biological shape in optical and acoustic measurement systems. Landmark-based geometric morphometrics (GMM) is a method of biological shape quantification
based on the relationship between landmarks placed at anatomical location. GMM enables robust statistical analysis, comparisons between shapes, and visualisation of shape changes.
This thesis explores the application of GMM with optical imaging for in vivo interpretation of amphioxus nerve cord shape, and acoustic measurements of Antarctic krill to improve biomass
estimates. Optical imaging was performed using optical coherence tomography (OCT), an in vivo, label free imaging modality. A longitudinal study of amphioxus using OCT was conducted to
capture the shape of the nerve cord during tail regeneration. Evidence for axial variation in the shape of the amphioxus nerve cord was found, however this work primarily develops a methodology
and further studies are recommended to draw robust conclusions.
GMM was used to construct a catalogue of realistic krill shapes for use in target strength models. Target strength is a measure of backscattering efficiency, which scales acoustic density
to biomass. Typically, target strength is modelled with a generic krill shape, and distributions of length, orientation, and wetmass. This thesis demonstrates the presence of scattering mechanism
influenced by shape and use of a shape catalogue to capture variability in target strength otherwise neglected.
An error budget for biomass estimates of krill was developed to investigate the influence of shape and orientation. Orientation was found to have the largest contribution to the measurement
error of biomass. In some cases, narrow orientation distributions resulted in biologically implausible biomass estimates due to nulls in the relationship between target strength and orientation angle.
These nulls are responsive to changes in shape, suggesting the implementation of a shape catalogue could improve the accuracy of biomass estimates.

Date of Award	29 Nov 2022
Original language	English
Awarding Institution	University of St Andrews
Supervisor	C Tom A Brown (Supervisor) & Ildiko Maureen Lara Somorjai (Supervisor)