An Affordable Image-Analysis Platform to Accelerate Stomatal Phenotyping During Microscopic Observation.

ABSTRACT: Recent technical advances in the computer-vision domain have facilitated the development of various methods for achieving image-based quantification of stomata-related traits. However, the installation cost of such a system and the difficulties of operating it on-site have been hurdles for experimental biologists. Here, we present a platform that allows real-time stomata detection during microscopic observation. The proposed system consists of a deep neural network model-based stomata detector and an upright microscope connected to a USB camera and a graphics processing unit (GPU)-supported single-board computer. All the hardware components are commercially available at common electronic commerce stores at a reasonable price. Moreover, the machine-learning model is prepared based on freely

SUBMITTER: Toda Y 

PROVIDER: S-EPMC8358771 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature