A generalised approach for high-throughput instance segmentation of stomata in microscope images

A generalised approach for high-throughput instance segmentation of stomata in microscope images

Abstract Background Stomata analysis using microscope imagery provides important insight into plant physiology, health and the surrounding environmental conditions. Plant scientists are now able to conduct automated high-throughput analysis of stomata in microscope data, however, existing detection...

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Bibliographic Details
Main Authors: Hiranya Jayakody, Paul Petrie, Hugo Jan de Boer, Mark Whitty
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Plant Methods
Subjects:
Automatic stomata detection
Microscope imagery
Mask R-CNN
Instance segmentation
High-throughput analysis
Machine learning
Online Access:https://doi.org/10.1186/s13007-021-00727-4

Internet

https://doi.org/10.1186/s13007-021-00727-4

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