Shira Faigenbaum-Golovin

Shira Faigenbaum-Golovin, Zuckerman-CHE Israeli Women Postdoctoral Scholar (Alumna), recently published an article in The Anatomical Record, presenting an automated method for comparing 3D biological shapes.

Abstract:
Quantitative analysis of shape variation across species has been limited by difficulties in aligning anatomical structures. Although computational techniques for registration have become more accessible, challenges remain that hinder their widespread use in morphometrics. We present a two-step process implemented in Python and MATLAB. The first step is Automated 3D Geometric Morphometrics (auto3dgm), a framework for automatically aligning morphologically diverse objects representing the same anatomical structure.