ReviewTrends in plant science2014
Advanced imaging techniques for the study of plant growth and development.
Review in Trends in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Phytochemical Profiling and Toxicological Evaluation ofMolecules (Basel, Switzerland) · 2026Article
- Genetic and molecular breeding perspectives on developing abiotic stress tolerant pea (Frontiers in plant science · 2026Review
- Phytohormones involved in vascular cambium activity in woods: current progress and future challenges.Frontiers in plant science · 2024Review
- A Review of Integrative Omic Approaches for Understanding Rice Salt Response Mechanisms.Plants (Basel, Switzerland) · 2022Review
- DIRT/3D: 3D root phenotyping for field-grown maize (Zea mays).Plant physiology · 2021Article
- Plant phenomics: High-throughput technology for accelerating genomics.Journal of biosciences · 2020Review
- Article
- Review
- PlantSize Offers an Affordable, Non-destructive Method to Measure Plant Size and ColorFrontiers in plant science · 2018Article
- PaCeQuant: A Tool for High-Throughput Quantification of Pavement Cell Shape Characteristics.Plant physiology · 2017Article
- Use of Natural Diversity and Biotechnology to Increase the Quality and Nutritional Content of Tomato and Grape.Frontiers in plant science · 2017Review
- A Case for Distributed Control of Local Stem Cell Behavior in Plants.Developmental cell · 2016Review
- Automated interpretation of 3D laserscanned point clouds for plant organ segmentation.BMC bioinformatics · 2015Article
- Advanced phenotyping and phenotype data analysis for the study of plant growth and development.Frontiers in plant science · 2015Review
- Multiscale imaging of plants: current approaches and challenges.Plant methods · 2015Article
- Image-based high-throughput field phenotyping of crop roots.Plant physiology · 2014Article
- Plant chemical biology: are we meeting the promise?Frontiers in plant science · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A variety of imaging methodologies are being used to collect data for quantitative studies of plant growth and development from living plants. Multi-level data, from macroscopic to molecular, and from weeks to seconds, can be acquired. Furthermore, advances in parallelized and automated image acquisition enable the throughput to capture images from large populations of plants under specific growth conditions. Image-processing capabilities allow for 3D or 4D reconstruction of image data and automated quantification of biological features. These advances facilitate the integration of imaging data with genome-wide molecular data to enable systems-level modeling.
Indexed as
Identifiers
What OpenQuestion holds
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.