École Nationale Supérieure de
Techniques Avancées

Abstract

Limitations in 3D live microscopic image acquisition continue to constrain advancements in many cellular studies. To better understand cell movement structures and behaviors, it is necessary to address several challenges, including recreating in vitro environments that resemble real scenarios and achieving high-quality live image acquisition. This research internship aims to develop a pipeline for segmenting and extracting data on cell migration structures and patterns from live acquisitions carried out at Institut Curie. These datasets contain state-of-the-art 3D printed protein scaffoldings for cells to migrate but are anisometric up to 6.25 times smaller in the z-axis. Because many data treatment processes are done manually for each images and most of 3D segmentation algorithms are for isometric images, it’s needed to develop of a pipeline to properly accelerate and improve the data treatment for those images.