Detailed Record



Stress phenotyping analysis leveraging autofluorescence image sequences with machine learning


Abstract Autofluorescence-based imaging has the potential to non-destructively characterize the biochemical and physiological properties of plants regulated by genotypes using optical properties of the tissue. A comparative study of stress tolerant and stress susceptible genotypes of
Authors Mita Das ORCID , Carmela R. Guadagno University of WyomingORCID , Srinidhi Bashyam , Anastasios Mazis ORCID , B. E. Ewers University of WyomingORCID , Ashok Samal ORCID , Tala Awada ORCID
Journal Info Frontiers Media | Frontiers in Plant Science , vol: 15
Publication Date 4/19/2024
ISSN 1664-462X
TypeKeyword Image article
Open Access gold Gold Access
DOI https://doi.org/10.3389/fpls.2024.1353110
KeywordsKeyword Image Single-Molecule Imaging (Score: 0.545406) , Fluorescence Correlation Spectroscopy (Score: 0.523492) , Protein Analysis (Score: 0.522436) , Super-Resolution Imaging (Score: 0.503912) , Fluorescent Proteins (Score: 0.502256)