Image Segmentation Methods for Automated Morphological Analysis of Organoids
Author ORCID
Abstract
We compare the performance of several image segmentation tools for measuring the growth and morphological characteristics of organoids from microscopy images, and we show that a combining existing, specialized tools with general, open-source tools can improve performance.
Status
Graduate
Department
Physics & Astronomy
College
College of Arts and Sciences
Campus
Athens
Faculty Mentor
Castillo, Horacio
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Image Segmentation Methods for Automated Morphological Analysis of Organoids
We compare the performance of several image segmentation tools for measuring the growth and morphological characteristics of organoids from microscopy images, and we show that a combining existing, specialized tools with general, open-source tools can improve performance.