ArticlePlant biotechnology journal2022
StomataScorer: a portable and high-throughput leaf stomata trait scorer combined with deep learning and an improved CV model.
Article in Plant biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Automated stomatal traits measurement in melon (Cucumis melo L.) based on vision transformers with dynamically composable multi-head attention.Plant methods · 2026Article
- Technological advances in imaging and modelling of leaf structural traits: a review of heat stress in wheat.Journal of experimental botany · 2026Review
- QTLs for heat-induced stomatal anatomy underpin gas exchange variation in field-grown wheat.Frontiers in plant science · 2026Article
- A stomata imaging and segmentation pipeline incorporating generative AI to reduce dependency on manual groundtruthing.Plant methods · 2025Article
- SCAN: an automated phenotyping tool for real-time capture of leaf stomatal traits in canola.Journal of experimental botany · 2025Article
- Design and Analysis of a Two-Degree-of-Freedom Inertial Piezoelectric Platform.Materials (Basel, Switzerland) · 2025Article
- Stoma Detection in Soybean Leaves and Rust Resistance Analysis.Plants (Basel, Switzerland) · 2025Article
- Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance?Plant methods · 2025Article
- StomaYOLO: A Lightweight Maize Phenotypic Stomatal Cell Detector Based on Multi-Task Training.Plants (Basel, Switzerland) · 2025Article
- The combined effect of decreased stomatal density and aperture increases water use efficiency in maize.Scientific reports · 2025Article
- Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.Journal of experimental botany · 2024Review
- Application of deep learning for the analysis of stomata: a review of current methods and future directions.Journal of experimental botany · 2024Review
- A continental-scale analysis reveals the latitudinal gradient of stomatal density across amphistomatous species: evolutionary history vs. present-day environment.Annals of botany · 2024Article
- Integrating dynamic high-throughput phenotyping and genetic analysis to monitor growth variation in foxtail millet.Plant methods · 2024Article
- RotatedStomataNet: a deep rotated object detection network for directional stomata phenotype analysis.Plant cell reports · 2024Article
- Plant microphenotype: from innovative imaging to computational analysis.Plant biotechnology journal · 2024Review
- Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods.Frontiers in plant science · 2024Article
- An Overview of High-Throughput Crop Phenotyping: Platform, Image Analysis, Data Mining, and Data Management.Methods in molecular biology (Clifton, N.J.) · 2024Review
- Article
- Rapid non-destructive method to phenotype stomatal traits.Plant methods · 2023Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To measure stomatal traits automatically and nondestructively, a new method for detecting stomata and extracting stomatal traits was proposed. Two portable microscopes with different resolutions (TipScope with a 40× lens attached to a smartphone and ProScope HR2 with a 400× lens) are used to acquire images of living stomata in maize leaves. FPN model was used to detect stomata in the TipScope images and measure the stomata number and stomatal density. Faster RCNN model was used to detect opening and closing stomata in the ProScope HR2 images, and the number of opening and closing stomata was measured. An improved CV model was used to segment pores of opening stomata, and a total of 6 pore traits were measured. Compared to manual measurements, the square of the correlation coefficient (R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.