RNA expression analysis and quantification from images during limb regeneration

Franky Vargas, Enrique | 2023

This work implements a fundamental methodology to analyze the expression of morphogens, which are molecules or factors that act as fundamental chemical signals in the development of an organism and are essential for the formation of patterns in biology. These morphogens are present in images obtained through LFSM (Light Sheet Fluorescence Microscopy) during the regeneration process of the synovial joint in Axolotls, captured using the HCR FISH technique (Fluorescent In Situ Hybridization Chain Reaction), with the aim of quantifying and measuring the main concentration patterns. To achieve this, the tools provided by image analysis applications in the MATLAB environment are used in conjunction with the theory related to fluorescence image analysis and the fundamentals of biological images. The main objective is to establish a reference framework for the proposed models in the prediction of Turing patterns in cellular regeneration.