Image Segmentation Methods for Automated Morphological Analysis of Organoids

Presenter Information

Daniel Cartwright

Author ORCID

0000-0002-3454-7771

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

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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.