FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366245472> ?p ?o ?g. }

• W4366245472 endingPage "203842" @default.
• W4366245472 startingPage "203842" @default.
• W4366245472 abstract "Plants produce the major part of terrestrial biomass and are long-term deposits of atmospheric carbon. This capacity is to a large extent due to radial growth of woody species – a process driven by cambium stem cells located in distinct niches of shoot and root axes. In the model species Arabidopsis thaliana, thousands of cells are produced by the cambium in radial orientation generating a complex organ anatomy enabling long-distance transport, mechanical support and protection against biotic and abiotic stressors. These complex organ dynamics make a comprehensive and unbiased analysis of radial growth challenging and asks for tools for automated quantification. Here, we combined the recently developed PlantSeg and MorphographX image analysis tools, to characterize tissue morphogenesis of the Arabidopsis hypocotyl. After sequential training of segmentation models on ovules, shoot apical meristems and adult hypocotyls using deep machine learning, followed by the training of cell type classification models, our pipeline segments complex images of transverse hypocotyl sections with high accuracy and classifies central hypocotyl cell types. By applying our pipeline on both wild type and phloem intercalated with xylem (pxy) mutants, we also show that this strategy faithfully detects major anatomical aberrations. Collectively, we conclude that our established pipeline is a powerful phenotyping tool comprehensively extracting cellular parameters and providing access to tissue topology during radial plant growth." @default.
• W4366245472 created "2023-04-20" @default.
• W4366245472 creator A5005431192 @default.
• W4366245472 creator A5064408139 @default.
• W4366245472 creator A5086774851 @default.
• W4366245472 date "2023-06-01" @default.
• W4366245472 modified "2023-10-14" @default.
• W4366245472 title "Deep machine learning for cell segmentation and quantitative analysis of radial plant growth" @default.
• W4366245472 cites W2012240515 @default.
• W4366245472 cites W2077780517 @default.
• W4366245472 cites W2121398592 @default.
• W4366245472 cites W2149869559 @default.
• W4366245472 cites W2167279371 @default.
• W4366245472 cites W2189374548 @default.
• W4366245472 cites W2521136910 @default.
• W4366245472 cites W2564389826 @default.
• W4366245472 cites W2726875413 @default.
• W4366245472 cites W2768878155 @default.
• W4366245472 cites W2796156234 @default.
• W4366245472 cites W2908730896 @default.
• W4366245472 cites W2944135421 @default.
• W4366245472 cites W2975634117 @default.
• W4366245472 cites W2990469416 @default.
• W4366245472 cites W3046117255 @default.
• W4366245472 cites W3189548749 @default.
• W4366245472 cites W4207017585 @default.
• W4366245472 cites W4210778286 @default.
• W4366245472 cites W4224441912 @default.
• W4366245472 cites W4229074193 @default.
• W4366245472 cites W4323807470 @default.
• W4366245472 cites W598654174 @default.
• W4366245472 doi "https://doi.org/10.1016/j.cdev.2023.203842" @default.
• W4366245472 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37080460" @default.
• W4366245472 hasPublicationYear "2023" @default.
• W4366245472 type Work @default.
• W4366245472 citedByCount "0" @default.
• W4366245472 crossrefType "journal-article" @default.
• W4366245472 hasAuthorship W4366245472A5005431192 @default.
• W4366245472 hasAuthorship W4366245472A5064408139 @default.
• W4366245472 hasAuthorship W4366245472A5086774851 @default.
• W4366245472 hasBestOaLocation W43662454721 @default.
• W4366245472 hasConcept C104317684 @default.
• W4366245472 hasConcept C105409712 @default.
• W4366245472 hasConcept C111919701 @default.
• W4366245472 hasConcept C126021549 @default.
• W4366245472 hasConcept C143065580 @default.
• W4366245472 hasConcept C154945302 @default.
• W4366245472 hasConcept C166294865 @default.
• W4366245472 hasConcept C167506701 @default.
• W4366245472 hasConcept C186060115 @default.
• W4366245472 hasConcept C199360897 @default.
• W4366245472 hasConcept C21410773 @default.
• W4366245472 hasConcept C2775988993 @default.
• W4366245472 hasConcept C2779491563 @default.
• W4366245472 hasConcept C35496372 @default.
• W4366245472 hasConcept C41008148 @default.
• W4366245472 hasConcept C43521106 @default.
• W4366245472 hasConcept C49799701 @default.
• W4366245472 hasConcept C55493867 @default.
• W4366245472 hasConcept C59822182 @default.
• W4366245472 hasConcept C74949700 @default.
• W4366245472 hasConcept C86803240 @default.
• W4366245472 hasConcept C89600930 @default.
• W4366245472 hasConcept C95444343 @default.
• W4366245472 hasConcept C98045186 @default.
• W4366245472 hasConceptScore W4366245472C104317684 @default.
• W4366245472 hasConceptScore W4366245472C105409712 @default.
• W4366245472 hasConceptScore W4366245472C111919701 @default.
• W4366245472 hasConceptScore W4366245472C126021549 @default.
• W4366245472 hasConceptScore W4366245472C143065580 @default.
• W4366245472 hasConceptScore W4366245472C154945302 @default.
• W4366245472 hasConceptScore W4366245472C166294865 @default.
• W4366245472 hasConceptScore W4366245472C167506701 @default.
• W4366245472 hasConceptScore W4366245472C186060115 @default.
• W4366245472 hasConceptScore W4366245472C199360897 @default.
• W4366245472 hasConceptScore W4366245472C21410773 @default.
• W4366245472 hasConceptScore W4366245472C2775988993 @default.
• W4366245472 hasConceptScore W4366245472C2779491563 @default.
• W4366245472 hasConceptScore W4366245472C35496372 @default.
• W4366245472 hasConceptScore W4366245472C41008148 @default.
• W4366245472 hasConceptScore W4366245472C43521106 @default.
• W4366245472 hasConceptScore W4366245472C49799701 @default.
• W4366245472 hasConceptScore W4366245472C55493867 @default.
• W4366245472 hasConceptScore W4366245472C59822182 @default.
• W4366245472 hasConceptScore W4366245472C74949700 @default.
• W4366245472 hasConceptScore W4366245472C86803240 @default.
• W4366245472 hasConceptScore W4366245472C89600930 @default.
• W4366245472 hasConceptScore W4366245472C95444343 @default.
• W4366245472 hasConceptScore W4366245472C98045186 @default.
• W4366245472 hasFunder F4320320879 @default.
• W4366245472 hasLocation W43662454721 @default.
• W4366245472 hasLocation W43662454722 @default.
• W4366245472 hasOpenAccess W4366245472 @default.
• W4366245472 hasPrimaryLocation W43662454721 @default.
• W4366245472 hasRelatedWork W1973523210 @default.
• W4366245472 hasRelatedWork W2090093700 @default.
• W4366245472 hasRelatedWork W2314284235 @default.
• W4366245472 hasRelatedWork W2398901122 @default.

• next