AIMC Topic: Plant Roots
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Machine learning and chemometric methods for high-throughput authentication of 53 Root and Rhizome Chinese Herbal using ATR-FTIR fingerprints.
Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
Jun 15, 2025
To address the identification challenges caused by morphological similarities in Root and Rhizome Chinese Herbal (RRCH), this study developed a discrimination system integrating Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (AT...
Machine-learning meta-analysis reveals ethylene as a central component of the molecular core in abiotic stress responses in Arabidopsis.
Nature communications
May 22, 2025
Understanding how plants adapt their physiology to overcome severe and often multifactorial stress conditions in nature is vital in light of the climate crisis. This remains a challenge given the complex nature of the underlying molecular mechanisms....
Evaluation of an artificial intelligence system for the diagnosis of apical periodontitis on digital panoramic images.
Nigerian journal of clinical practice
Aug 1, 2023
AIMS: The aim of the present study was to evaluate the effectiveness of an artificial intelligence (AI) system in the detection of roots with apical periodontitis (AP) on digital panoramic radiographs.
Cytotoxicity and molecular docking analysis of racemolactone I, a new sesquiterpene lactone isolated from .
Pharmaceutical biology
Dec 1, 2021
CONTEXT: Traditionally, Hook. f. (Asteraceae) has been reported to be effective in cancer treatment which motivated the authors to explore the plant for novel anticancer compounds.
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.
GigaScience
Jul 20, 2021
BACKGROUND: Deep learning methods have outperformed previous techniques in most computer vision tasks, including image-based plant phenotyping. However, massive data collection of root traits and the development of associated artificial intelligence ...
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.
GigaScience
Nov 1, 2019
BACKGROUND: In recent years quantitative analysis of root growth has become increasingly important as a way to explore the influence of abiotic stress such as high temperature and drought on a plant's ability to take up water and nutrients. Segmentat...
[Preliminary study on standardization of production and processing of Angelicae Sinensis Radix pieces].
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
Dec 1, 2017
Study on the standardization of Chinese materia medica is an important action for modernization and globalization for traditional Chinese medicine. Standardization on the processing of Chinese herbal pieces is an important part in the study on standa...
Polysaccharides extracted from the roots of Bupleurum chinense DC modulates macrophage functions.
Chinese journal of natural medicines
Dec 1, 2017
The present study aimed to investigate the effects of polysaccharides extracted from Bupleurum chinense DC (BCPs) on macrophage functions. In the in vivo experiment, 1 mL of 5% sodium thioglycollate was injected into the abdomen of the mice on Day 0 ...
Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies.
GigaScience
Oct 1, 2017
Genetic analyses of plant root systems require large datasets of extracted architectural traits. To quantify such traits from images of root systems, researchers often have to choose between automated tools (that are prone to error and extract only a...
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.
GigaScience
Oct 1, 2017
In plant phenotyping, it has become important to be able to measure many features on large image sets in order to aid genetic discovery. The size of the datasets, now often captured robotically, often precludes manual inspection, hence the motivation...
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