Lani Quach
Pronouns: She/Her
Research Mentor(s): David Nordsletten
Research Mentor School/College/Department: Biomedical Engineering / Engineering
Program: UROPF
Session: Session 5 (2:40pm – 3:30pm)
Authors: Lani Quach, David Nordsletten, Javiera Jilberto
Abstract
Scientists from the Baker lab at the University of Michigan have put together an experimental setup to investigate the consequences of altering the mechanical environment in which cells grow. The similarity between experiments, however, depends on the correctness of the experimental data assimilation when interpreting this data. This study aimed to develop Python code for identifying and tracing markers between two images of engineered heart tissue using image registration algorithms in order to find the best map between them. The code was then applied to compute the local deformation of the tissue by comparing the positions of the markers in consecutive images. Image registration algorithms, such as ImageJ, were used to accurately align the markers in the images and process them for use in the actual image registration process. From there, through applications such as Elastixs, an image registration software, the deformation and displacement fields were calculated and displayed. Using test images on each software allows us to test the reliability and validity of each of these methodologies and cross examine the results of each method allowing for accuracy and precision of the deformation measurements. The deformation fields obtained will be used as an input in finite element simulations to find tissue-specific mechanical parameters and changes in tissue activations. The outcomes of this study will create a tool that aids in the examination of the dynamics of cardiac tissue movement and the mechanisms of tissue deformation, thereby allowing researchers to extract more valuable insights from these images and cases.
