Intelligent fluorescence image analysis of giant unilamellar vesicles using convolutional neural network.

ABSTRACT:

Background

Fluorescence image analysis in biochemical science often involves the complex tasks of identifying samples for analysis and calculating the desired information from the intensity traces. Analyzing giant unilamellar vesicles (GUVs) is one of these tasks. Researchers need to identify many vesicles to statistically analyze the degree of molecular interaction or state of molecular organization on the membranes. This analysis is complicated, requiring a careful manual examination by researchers, so automating the analysis can significantly aid in improving its efficiency and reliability.

Results

We developed a convolutional neural network (CNN) assisted intelligent analysis routine based on the whole 3D z-stack images. The programs identify the vesicles with desired mo

SUBMITTER: Lee IH 

PROVIDER: S-EPMC8783447 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature