AIMC Topic: Plant Cells

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Selective chemical probes can untangle the complexity of the plant cell endomembrane system.

Current opinion in plant biology May 11, 2022
The endomembrane system is critical for plant growth and development and understanding its function and regulation is of great interest for plant biology research. Small-molecule targeting distinctive endomembrane components have proven powerful tool...
Plant Cells Plants Protein Transport Artificial Intelligence Phenotype
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Magnetic Biohybrid Robots as Efficient Drug Carrier to Generate Plant Cell Clones.

Small (Weinheim an der Bergstrasse, Germany) May 10, 2022
Micro/nanorobots represent a new generation of micromachines that can accomplish various tasks, such as loading and transporting specific targets or pharmaceuticals for a given application. Biohybrid robots consisting of biological cells (bacteria, s...
Drug Carriers Magnetic Fields Plant Cells Agrochemicals Robotics Clone Cells
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Development of a novel noninvasive quantitative method to monitor Siraitia grosvenorii cell growth and browning degree using an integrated computer-aided vision technology and machine learning.

Biotechnology and bioengineering Jul 28, 2021
The rapid, accurate and noninvasive detection of biomass and plant cell browning can provide timely feedback on cell growth in plant cell culture. In this study, Siraitia grosvenorii suspension cells were taken as an example, a phenotype analysis pla...
Image Processing, Computer-Assisted Cell Culture Techniques Machine Learning Plant Cells Cucurbitaceae
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DeepSeed Local Graph Matching for Densely Packed Cells Tracking.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
The tracking of densely packed plant cells across microscopy image sequences is very challenging, because their appearance change greatly over time. A local graph matching algorithm was proposed to track such cells by exploiting the tight spatial top...
Plant Cells Algorithms Image Processing, Computer-Assisted Microscopy Cell Tracking Neural Networks, Computer
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A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.

Scientific data Oct 27, 2020
We present a new large-scale three-fold annotated microscopy image dataset, aiming to advance the plant cell biology research by exploring different cell microstructures including cell size and shape, cell wall thickness, intercellular space, etc. in...
Plant Tubers Solanum tuberosum Plant Cells Neural Networks, Computer Image Processing, Computer-Assisted Microscopy Deep Learning
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Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture.

Applied microbiology and biotechnology Sep 28, 2020
Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in different fields of technology and science and have recently been applied to improve different stages of plant tissue culture. The usefulness of the applicat...
Plant Cells Machine Learning Neural Networks, Computer Algorithms Artificial Intelligence
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Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

Molecular plant pathology Aug 15, 2015
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot disease in pepper and tomato. Xcv pathogenicity depends on a type III secretion (T3S) system that delivers effector proteins into host cells to suppress...
Bacterial Secretion Systems Base Composition Capsicum Plant Cells Nicotiana Mutation Protein Transport Plant Leaves Machine Learning Plant Diseases Xanthomonas Bacterial Proteins Phylogeny
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DeepLearnMOR: a deep-learning framework for fluorescence image-based classification of organelle morphology.

Plant physiology Aug 3, 2021
The proper biogenesis, morphogenesis, and dynamics of subcellular organelles are essential to their metabolic functions. Conventional techniques for identifying, classifying, and quantifying abnormalities in organelle morphology are largely manual an...
Neural Networks, Computer Reproducibility of Results Plant Cells Organelles Deep Learning Plants Computer-Aided Design Fluorescence
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VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques.

Journal of biosciences Jan 1, 2020
Subcellular localization prediction of the proteome is one of major goals of large-scale genome or proteome sequencing projects to define the gene functions that could be possible with the help of computational modeling techniques. Previously, differ...
Plant Proteins Plant Cells ROC Curve Viridiplantae Software Databases, Protein Computational Biology Vacuoles Proteome Datasets as Topic Support Vector Machine
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